\n \n \n \n \n \"\"\"\n return HTMLResponse(html)", "complexity": 0, "lines_of_code": 132, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_swagger_ui_html"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/docs.py:get_redoc_html", "name": "get_redoc_html", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/docs.py", "start_line": 162, "end_line": 254, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "HTMLResponse", "base_classes": [], "decorators": [], "docstring": "Generate and return the HTML response that loads ReDoc for the alternative\nAPI docs (normally served at `/redoc`).\n\nYou would only call this function yourself if you needed to override some parts,\nfor example the URLs to use to load ReDoc's JavaScript and CSS.\n\nRead more about it in the\n[FastAPI docs for Custom Docs UI Static Assets (Self-Hosting)](https://fastapi.tiangolo.com/how-to/custom-docs-ui-assets/).", "signature": "def get_redoc_html(", "body_source": "def get_redoc_html(\n *,\n openapi_url: Annotated[\n str,\n Doc(\n \"\"\"\n The OpenAPI URL that ReDoc should load and use.\n\n This is normally done automatically by FastAPI using the default URL\n `/openapi.json`.\n \"\"\"\n ),\n ],\n title: Annotated[\n str,\n Doc(\n \"\"\"\n The HTML `` content, normally shown in the browser tab.\n \"\"\"\n ),\n ],\n redoc_js_url: Annotated[\n str,\n Doc(\n \"\"\"\n The URL to use to load the ReDoc JavaScript.\n\n It is normally set to a CDN URL.\n \"\"\"\n ),\n ] = \"https://cdn.jsdelivr.net/npm/redoc@2/bundles/redoc.standalone.js\",\n redoc_favicon_url: Annotated[\n str,\n Doc(\n \"\"\"\n The URL of the favicon to use. It is normally shown in the browser tab.\n \"\"\"\n ),\n ] = \"https://fastapi.tiangolo.com/img/favicon.png\",\n with_google_fonts: Annotated[\n bool,\n Doc(\n \"\"\"\n Load and use Google Fonts.\n \"\"\"\n ),\n ] = True,\n) -> HTMLResponse:\n \"\"\"\n Generate and return the HTML response that loads ReDoc for the alternative\n API docs (normally served at `/redoc`).\n\n You would only call this function yourself if you needed to override some parts,\n for example the URLs to use to load ReDoc's JavaScript and CSS.\n\n Read more about it in the\n [FastAPI docs for Custom Docs UI Static Assets (Self-Hosting)](https://fastapi.tiangolo.com/how-to/custom-docs-ui-assets/).\n \"\"\"\n html = f\"\"\"\n <!DOCTYPE html>\n <html>\n <head>\n <title>{title}\n \n \n \n \"\"\"\n if with_google_fonts:\n html += \"\"\"\n \n \"\"\"\n html += f\"\"\"\n \n \n \n \n \n \n \n \n \n \n \"\"\"\n return HTMLResponse(html)", "complexity": 0, "lines_of_code": 92, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_redoc_html"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/docs.py:get_swagger_ui_oauth2_redirect_html", "name": "get_swagger_ui_oauth2_redirect_html", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/docs.py", "start_line": 257, "end_line": 345, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "HTMLResponse", "base_classes": [], "decorators": [], "docstring": "Generate the HTML response with the OAuth2 redirection for Swagger UI.\n\nYou normally don't need to use or change this.", "signature": "def get_swagger_ui_oauth2_redirect_html() -> HTMLResponse:", "body_source": "def get_swagger_ui_oauth2_redirect_html() -> HTMLResponse:\n \"\"\"\n Generate the HTML response with the OAuth2 redirection for Swagger UI.\n\n You normally don't need to use or change this.\n \"\"\"\n # copied from https://github.com/swagger-api/swagger-ui/blob/v4.14.0/dist/oauth2-redirect.html\n html = \"\"\"\n \n \n \n Swagger UI: OAuth2 Redirect\n \n \n \n \n \n \"\"\"\n return HTMLResponse(content=html)", "complexity": 0, "lines_of_code": 88, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_swagger_ui_oauth2_redirect_html"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py:get_openapi_security_definitions", "name": "get_openapi_security_definitions", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py", "start_line": 79, "end_line": 102, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "flat_dependant", "type": "Dependant"}], "return_type": "Tuple[Dict[str, Any], List[Dict[str, Any]]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_openapi_security_definitions(", "body_source": "def get_openapi_security_definitions(\n flat_dependant: Dependant,\n) -> Tuple[Dict[str, Any], List[Dict[str, Any]]]:\n security_definitions = {}\n # Use a dict to merge scopes for same security scheme\n operation_security_dict: Dict[str, List[str]] = {}\n for security_dependency in flat_dependant._security_dependencies:\n security_definition = jsonable_encoder(\n security_dependency._security_scheme.model,\n by_alias=True,\n exclude_none=True,\n )\n security_name = security_dependency._security_scheme.scheme_name\n security_definitions[security_name] = security_definition\n # Merge scopes for the same security scheme\n if security_name not in operation_security_dict:\n operation_security_dict[security_name] = []\n for scope in security_dependency.oauth_scopes or []:\n if scope not in operation_security_dict[security_name]:\n operation_security_dict[security_name].append(scope)\n operation_security = [\n {name: scopes} for name, scopes in operation_security_dict.items()\n ]\n return security_definitions, operation_security", "complexity": 0, "lines_of_code": 23, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_openapi_security_definitions"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py:_get_openapi_operation_parameters", "name": "_get_openapi_operation_parameters", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py", "start_line": 105, "end_line": 175, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "List[Dict[str, Any]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _get_openapi_operation_parameters(", "body_source": "def _get_openapi_operation_parameters(\n *,\n dependant: Dependant,\n model_name_map: ModelNameMap,\n field_mapping: Dict[\n Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n ],\n separate_input_output_schemas: bool = True,\n) -> List[Dict[str, Any]]:\n parameters = []\n flat_dependant = get_flat_dependant(dependant, skip_repeats=True)\n path_params = _get_flat_fields_from_params(flat_dependant.path_params)\n query_params = _get_flat_fields_from_params(flat_dependant.query_params)\n header_params = _get_flat_fields_from_params(flat_dependant.header_params)\n cookie_params = _get_flat_fields_from_params(flat_dependant.cookie_params)\n parameter_groups = [\n (ParamTypes.path, path_params),\n (ParamTypes.query, query_params),\n (ParamTypes.header, header_params),\n (ParamTypes.cookie, cookie_params),\n ]\n default_convert_underscores = True\n if len(flat_dependant.header_params) == 1:\n first_field = flat_dependant.header_params[0]\n if lenient_issubclass(first_field.type_, BaseModel):\n default_convert_underscores = getattr(\n first_field.field_info, \"convert_underscores\", True\n )\n for param_type, param_group in parameter_groups:\n for param in param_group:\n field_info = param.field_info\n # field_info = cast(Param, field_info)\n if not getattr(field_info, \"include_in_schema\", True):\n continue\n param_schema = get_schema_from_model_field(\n field=param,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n name = get_validation_alias(param)\n convert_underscores = getattr(\n param.field_info,\n \"convert_underscores\",\n default_convert_underscores,\n )\n if (\n param_type == ParamTypes.header\n and name == param.name\n and convert_underscores\n ):\n name = param.name.replace(\"_\", \"-\")\n\n parameter = {\n \"name\": name,\n \"in\": param_type.value,\n \"required\": param.required,\n \"schema\": param_schema,\n }\n if field_info.description:\n parameter[\"description\"] = field_info.description\n openapi_examples = getattr(field_info, \"openapi_examples\", None)\n example = getattr(field_info, \"example\", None)\n if openapi_examples:\n parameter[\"examples\"] = jsonable_encoder(openapi_examples)\n elif example != Undefined:\n parameter[\"example\"] = jsonable_encoder(example)\n if getattr(field_info, \"deprecated\", None):\n parameter[\"deprecated\"] = True\n parameters.append(parameter)\n return parameters", "complexity": 0, "lines_of_code": 70, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_get_openapi_operation_parameters"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py:get_openapi_operation_request_body", "name": "get_openapi_operation_request_body", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py", "start_line": 178, "end_line": 210, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Optional[Dict[str, Any]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_openapi_operation_request_body(", "body_source": "def get_openapi_operation_request_body(\n *,\n body_field: Optional[ModelField],\n model_name_map: ModelNameMap,\n field_mapping: Dict[\n Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n ],\n separate_input_output_schemas: bool = True,\n) -> Optional[Dict[str, Any]]:\n if not body_field:\n return None\n assert _is_model_field(body_field)\n body_schema = get_schema_from_model_field(\n field=body_field,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n field_info = cast(Body, body_field.field_info)\n request_media_type = field_info.media_type\n required = body_field.required\n request_body_oai: Dict[str, Any] = {}\n if required:\n request_body_oai[\"required\"] = required\n request_media_content: Dict[str, Any] = {\"schema\": body_schema}\n if field_info.openapi_examples:\n request_media_content[\"examples\"] = jsonable_encoder(\n field_info.openapi_examples\n )\n elif field_info.example != Undefined:\n request_media_content[\"example\"] = jsonable_encoder(field_info.example)\n request_body_oai[\"content\"] = {request_media_type: request_media_content}\n return request_body_oai", "complexity": 0, "lines_of_code": 32, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_openapi_operation_request_body"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py:generate_operation_id", "name": "generate_operation_id", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py", "start_line": 213, "end_line": 225, "role": "Factory", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "str", "base_classes": [], "decorators": [], "docstring": "", "signature": "def generate_operation_id(", "body_source": "def generate_operation_id(\n *, route: routing.APIRoute, method: str\n) -> str: # pragma: nocover\n warnings.warn(\n \"fastapi.openapi.utils.generate_operation_id() was deprecated, \"\n \"it is not used internally, and will be removed soon\",\n DeprecationWarning,\n stacklevel=2,\n )\n if route.operation_id:\n return route.operation_id\n path: str = route.path_format\n return generate_operation_id_for_path(name=route.name, path=path, method=method)", "complexity": 0, "lines_of_code": 12, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "generate_operation_id"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py:generate_operation_summary", "name": "generate_operation_summary", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py", "start_line": 228, "end_line": 231, "role": "Factory", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "str", "base_classes": [], "decorators": [], "docstring": "", "signature": "def generate_operation_summary(*, route: routing.APIRoute, method: str) -> str:", "body_source": "def generate_operation_summary(*, route: routing.APIRoute, method: str) -> str:\n if route.summary:\n return route.summary\n return route.name.replace(\"_\", \" \").title()", "complexity": 0, "lines_of_code": 3, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "generate_operation_summary"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py:get_openapi_operation_metadata", "name": "get_openapi_operation_metadata", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py", "start_line": 234, "end_line": 257, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_openapi_operation_metadata(", "body_source": "def get_openapi_operation_metadata(\n *, route: routing.APIRoute, method: str, operation_ids: Set[str]\n) -> Dict[str, Any]:\n operation: Dict[str, Any] = {}\n if route.tags:\n operation[\"tags\"] = route.tags\n operation[\"summary\"] = generate_operation_summary(route=route, method=method)\n if route.description:\n operation[\"description\"] = route.description\n operation_id = route.operation_id or route.unique_id\n if operation_id in operation_ids:\n message = (\n f\"Duplicate Operation ID {operation_id} for function \"\n + f\"{route.endpoint.__name__}\"\n )\n file_name = getattr(route.endpoint, \"__globals__\", {}).get(\"__file__\")\n if file_name:\n message += f\" at {file_name}\"\n warnings.warn(message, stacklevel=1)\n operation_ids.add(operation_id)\n operation[\"operationId\"] = operation_id\n if route.deprecated:\n operation[\"deprecated\"] = route.deprecated\n return operation", "complexity": 0, "lines_of_code": 23, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_openapi_operation_metadata"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py:get_openapi_path", "name": "get_openapi_path", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py", "start_line": 260, "end_line": 443, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Tuple[Dict[str, Any], Dict[str, Any], Dict[str, Any]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_openapi_path(", "body_source": "def get_openapi_path(\n *,\n route: routing.APIRoute,\n operation_ids: Set[str],\n model_name_map: ModelNameMap,\n field_mapping: Dict[\n Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n ],\n separate_input_output_schemas: bool = True,\n) -> Tuple[Dict[str, Any], Dict[str, Any], Dict[str, Any]]:\n path = {}\n security_schemes: Dict[str, Any] = {}\n definitions: Dict[str, Any] = {}\n assert route.methods is not None, \"Methods must be a list\"\n if isinstance(route.response_class, DefaultPlaceholder):\n current_response_class: Type[Response] = route.response_class.value\n else:\n current_response_class = route.response_class\n assert current_response_class, \"A response class is needed to generate OpenAPI\"\n route_response_media_type: Optional[str] = current_response_class.media_type\n if route.include_in_schema:\n for method in route.methods:\n operation = get_openapi_operation_metadata(\n route=route, method=method, operation_ids=operation_ids\n )\n parameters: List[Dict[str, Any]] = []\n flat_dependant = get_flat_dependant(route.dependant, skip_repeats=True)\n security_definitions, operation_security = get_openapi_security_definitions(\n flat_dependant=flat_dependant\n )\n if operation_security:\n operation.setdefault(\"security\", []).extend(operation_security)\n if security_definitions:\n security_schemes.update(security_definitions)\n operation_parameters = _get_openapi_operation_parameters(\n dependant=route.dependant,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n parameters.extend(operation_parameters)\n if parameters:\n all_parameters = {\n (param[\"in\"], param[\"name\"]): param for param in parameters\n }\n required_parameters = {\n (param[\"in\"], param[\"name\"]): param\n for param in parameters\n if param.get(\"required\")\n }\n # Make sure required definitions of the same parameter take precedence\n # over non-required definitions\n all_parameters.update(required_parameters)\n operation[\"parameters\"] = list(all_parameters.values())\n if method in METHODS_WITH_BODY:\n request_body_oai = get_openapi_operation_request_body(\n body_field=route.body_field,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n if request_body_oai:\n operation[\"requestBody\"] = request_body_oai\n if route.callbacks:\n callbacks = {}\n for callback in route.callbacks:\n if isinstance(callback, routing.APIRoute):\n (\n cb_path,\n cb_security_schemes,\n cb_definitions,\n ) = get_openapi_path(\n route=callback,\n operation_ids=operation_ids,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n callbacks[callback.name] = {callback.path: cb_path}\n operation[\"callbacks\"] = callbacks\n if route.status_code is not None:\n status_code = str(route.status_code)\n else:\n # It would probably make more sense for all response classes to have an\n # explicit default status_code, and to extract it from them, instead of\n # doing this inspection tricks, that would probably be in the future\n # TODO: probably make status_code a default class attribute for all\n # responses in Starlette\n response_signature = inspect.signature(current_response_class.__init__)\n status_code_param = response_signature.parameters.get(\"status_code\")\n if status_code_param is not None:\n if isinstance(status_code_param.default, int):\n status_code = str(status_code_param.default)\n operation.setdefault(\"responses\", {}).setdefault(status_code, {})[\n \"description\"\n ] = route.response_description\n if route_response_media_type and is_body_allowed_for_status_code(\n route.status_code\n ):\n response_schema = {\"type\": \"string\"}\n if lenient_issubclass(current_response_class, JSONResponse):\n if route.response_field:\n response_schema = get_schema_from_model_field(\n field=route.response_field,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n else:\n response_schema = {}\n operation.setdefault(\"responses\", {}).setdefault(\n status_code, {}\n ).setdefault(\"content\", {}).setdefault(route_response_media_type, {})[\n \"schema\"\n ] = response_schema\n if route.responses:\n operation_responses = operation.setdefault(\"responses\", {})\n for (\n additional_status_code,\n additional_response,\n ) in route.responses.items():\n process_response = additional_response.copy()\n process_response.pop(\"model\", None)\n status_code_key = str(additional_status_code).upper()\n if status_code_key == \"DEFAULT\":\n status_code_key = \"default\"\n openapi_response = operation_responses.setdefault(\n status_code_key, {}\n )\n assert isinstance(process_response, dict), (\n \"An additional response must be a dict\"\n )\n field = route.response_fields.get(additional_status_code)\n additional_field_schema: Optional[Dict[str, Any]] = None\n if field:\n additional_field_schema = get_schema_from_model_field(\n field=field,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n media_type = route_response_media_type or \"application/json\"\n additional_schema = (\n process_response.setdefault(\"content\", {})\n .setdefault(media_type, {})\n .setdefault(\"schema\", {})\n )\n deep_dict_update(additional_schema, additional_field_schema)\n status_text: Optional[str] = status_code_ranges.get(\n str(additional_status_code).upper()\n ) or http.client.responses.get(int(additional_status_code))\n description = (\n process_response.get(\"description\")\n or openapi_response.get(\"description\")\n or status_text\n or \"Additional Response\"\n )\n deep_dict_update(openapi_response, process_response)\n openapi_response[\"description\"] = description\n http422 = \"422\"\n all_route_params = get_flat_params(route.dependant)\n if (all_route_params or route.body_field) and not any(\n status in operation[\"responses\"]\n for status in [http422, \"4XX\", \"default\"]\n ):\n operation[\"responses\"][http422] = {\n \"description\": \"Validation Error\",\n \"content\": {\n \"application/json\": {\n \"schema\": {\"$ref\": REF_PREFIX + \"HTTPValidationError\"}\n }\n },\n }\n if \"ValidationError\" not in definitions:\n definitions.update(\n {\n \"ValidationError\": validation_error_definition,\n \"HTTPValidationError\": validation_error_response_definition,\n }\n )\n if route.openapi_extra:\n deep_dict_update(operation, route.openapi_extra)\n path[method.lower()] = operation\n return path, security_schemes, definitions", "complexity": 0, "lines_of_code": 183, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_openapi_path"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py:get_fields_from_routes", "name": "get_fields_from_routes", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py", "start_line": 446, "end_line": 474, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "routes", "type": "Sequence[BaseRoute]"}], "return_type": "List[ModelField]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_fields_from_routes(", "body_source": "def get_fields_from_routes(\n routes: Sequence[BaseRoute],\n) -> List[ModelField]:\n body_fields_from_routes: List[ModelField] = []\n responses_from_routes: List[ModelField] = []\n request_fields_from_routes: List[ModelField] = []\n callback_flat_models: List[ModelField] = []\n for route in routes:\n if getattr(route, \"include_in_schema\", None) and isinstance(\n route, routing.APIRoute\n ):\n if route.body_field:\n assert _is_model_field(route.body_field), (\n \"A request body must be a Pydantic Field\"\n )\n body_fields_from_routes.append(route.body_field)\n if route.response_field:\n responses_from_routes.append(route.response_field)\n if route.response_fields:\n responses_from_routes.extend(route.response_fields.values())\n if route.callbacks:\n callback_flat_models.extend(get_fields_from_routes(route.callbacks))\n params = get_flat_params(route.dependant)\n request_fields_from_routes.extend(params)\n\n flat_models = callback_flat_models + list(\n body_fields_from_routes + responses_from_routes + request_fields_from_routes\n )\n return flat_models", "complexity": 0, "lines_of_code": 28, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_fields_from_routes"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py:get_openapi", "name": "get_openapi", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/openapi/utils.py", "start_line": 477, "end_line": 568, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_openapi(", "body_source": "def get_openapi(\n *,\n title: str,\n version: str,\n openapi_version: str = \"3.1.0\",\n summary: Optional[str] = None,\n description: Optional[str] = None,\n routes: Sequence[BaseRoute],\n webhooks: Optional[Sequence[BaseRoute]] = None,\n tags: Optional[List[Dict[str, Any]]] = None,\n servers: Optional[List[Dict[str, Union[str, Any]]]] = None,\n terms_of_service: Optional[str] = None,\n contact: Optional[Dict[str, Union[str, Any]]] = None,\n license_info: Optional[Dict[str, Union[str, Any]]] = None,\n separate_input_output_schemas: bool = True,\n external_docs: Optional[Dict[str, Any]] = None,\n) -> Dict[str, Any]:\n info: Dict[str, Any] = {\"title\": title, \"version\": version}\n if summary:\n info[\"summary\"] = summary\n if description:\n info[\"description\"] = description\n if terms_of_service:\n info[\"termsOfService\"] = terms_of_service\n if contact:\n info[\"contact\"] = contact\n if license_info:\n info[\"license\"] = license_info\n output: Dict[str, Any] = {\"openapi\": openapi_version, \"info\": info}\n if servers:\n output[\"servers\"] = servers\n components: Dict[str, Dict[str, Any]] = {}\n paths: Dict[str, Dict[str, Any]] = {}\n webhook_paths: Dict[str, Dict[str, Any]] = {}\n operation_ids: Set[str] = set()\n all_fields = get_fields_from_routes(list(routes or []) + list(webhooks or []))\n model_name_map = get_compat_model_name_map(all_fields)\n field_mapping, definitions = get_definitions(\n fields=all_fields,\n model_name_map=model_name_map,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n for route in routes or []:\n if isinstance(route, routing.APIRoute):\n result = get_openapi_path(\n route=route,\n operation_ids=operation_ids,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n if result:\n path, security_schemes, path_definitions = result\n if path:\n paths.setdefault(route.path_format, {}).update(path)\n if security_schemes:\n components.setdefault(\"securitySchemes\", {}).update(\n security_schemes\n )\n if path_definitions:\n definitions.update(path_definitions)\n for webhook in webhooks or []:\n if isinstance(webhook, routing.APIRoute):\n result = get_openapi_path(\n route=webhook,\n operation_ids=operation_ids,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n if result:\n path, security_schemes, path_definitions = result\n if path:\n webhook_paths.setdefault(webhook.path_format, {}).update(path)\n if security_schemes:\n components.setdefault(\"securitySchemes\", {}).update(\n security_schemes\n )\n if path_definitions:\n definitions.update(path_definitions)\n if definitions:\n components[\"schemas\"] = {k: definitions[k] for k in sorted(definitions)}\n if components:\n output[\"components\"] = components\n output[\"paths\"] = paths\n if webhook_paths:\n output[\"webhooks\"] = webhook_paths\n if tags:\n output[\"tags\"] = tags\n if external_docs:\n output[\"externalDocs\"] = external_docs\n return jsonable_encoder(OpenAPI(**output), by_alias=True, exclude_none=True) # type: ignore", "complexity": 0, "lines_of_code": 91, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_openapi"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:GenerateJsonSchema", "name": "GenerateJsonSchema", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 149, "end_line": 149, "role": "DTO", "role_confidence": 75.0, "discovery_method": "pattern", "params": [], "return_type": "", "base_classes": [], "decorators": ["dataclass"], "docstring": "", "signature": "class GenerateJsonSchema:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "GenerateJsonSchema"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:PydanticSchemaGenerationError", "name": "PydanticSchemaGenerationError", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 153, "end_line": 153, "role": "DTO", "role_confidence": 75.0, "discovery_method": "pattern", "params": [], "return_type": "", "base_classes": ["Exception"], "decorators": [], "docstring": "", "signature": "class PydanticSchemaGenerationError(Exception):", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "PydanticSchemaGenerationError"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:with_info_plain_validator_function", "name": "with_info_plain_validator_function", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 160, "end_line": 167, "role": "Validator", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "function", "type": "Callable[..., Any]"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def with_info_plain_validator_function(", "body_source": "def with_info_plain_validator_function(\n function: Callable[..., Any],\n *,\n ref: Union[str, None] = None,\n metadata: Any = None,\n serialization: Any = None,\n) -> Any:\n return {}", "complexity": 0, "lines_of_code": 7, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "with_info_plain_validator_function"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:get_model_definitions", "name": "get_model_definitions", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 170, "end_line": 186, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_model_definitions(", "body_source": "def get_model_definitions(\n *,\n flat_models: Set[Union[Type[BaseModel], Type[Enum]]],\n model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],\n) -> Dict[str, Any]:\n definitions: Dict[str, Dict[str, Any]] = {}\n for model in flat_models:\n m_schema, m_definitions, m_nested_models = model_process_schema(\n model, model_name_map=model_name_map, ref_prefix=REF_PREFIX\n )\n definitions.update(m_definitions)\n model_name = model_name_map[model]\n definitions[model_name] = m_schema\n for m_schema in definitions.values():\n if \"description\" in m_schema:\n m_schema[\"description\"] = m_schema[\"description\"].split(\"\\f\")[0]\n return definitions", "complexity": 0, "lines_of_code": 16, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_model_definitions"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:is_pv1_scalar_field", "name": "is_pv1_scalar_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 189, "end_line": 205, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_pv1_scalar_field(field: ModelField) -> bool:", "body_source": "def is_pv1_scalar_field(field: ModelField) -> bool:\n from fastapi import params\n\n field_info = field.field_info\n if not (\n field.shape == SHAPE_SINGLETON\n and not lenient_issubclass(field.type_, BaseModel)\n and not lenient_issubclass(field.type_, dict)\n and not shared.field_annotation_is_sequence(field.type_)\n and not is_dataclass(field.type_)\n and not isinstance(field_info, params.Body)\n ):\n return False\n if field.sub_fields:\n if not all(is_pv1_scalar_field(f) for f in field.sub_fields):\n return False\n return True", "complexity": 0, "lines_of_code": 16, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_pv1_scalar_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:is_pv1_scalar_sequence_field", "name": "is_pv1_scalar_sequence_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 208, "end_line": 219, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_pv1_scalar_sequence_field(field: ModelField) -> bool:", "body_source": "def is_pv1_scalar_sequence_field(field: ModelField) -> bool:\n if (field.shape in sequence_shapes) and not lenient_issubclass(\n field.type_, BaseModel\n ):\n if field.sub_fields is not None:\n for sub_field in field.sub_fields:\n if not is_pv1_scalar_field(sub_field):\n return False\n return True\n if shared._annotation_is_sequence(field.type_):\n return True\n return False", "complexity": 0, "lines_of_code": 11, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_pv1_scalar_sequence_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:_model_rebuild", "name": "_model_rebuild", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 222, "end_line": 223, "role": "Internal", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [{"name": "model", "type": "Type[BaseModel]"}], "return_type": "None", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _model_rebuild(model: Type[BaseModel]) -> None:", "body_source": "def _model_rebuild(model: Type[BaseModel]) -> None:\n model.update_forward_refs()", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_model_rebuild"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:_model_dump", "name": "_model_dump", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 226, "end_line": 229, "role": "Internal", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [{"name": "model", "type": "BaseModel"}, {"name": "mode", "type": "Literal['json', 'python']", "default": "'json'"}, {"name": "**kwargs", "type": "Any"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _model_dump(", "body_source": "def _model_dump(\n model: BaseModel, mode: Literal[\"json\", \"python\"] = \"json\", **kwargs: Any\n) -> Any:\n return model.dict(**kwargs)", "complexity": 0, "lines_of_code": 3, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_model_dump"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:_get_model_config", "name": "_get_model_config", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 232, "end_line": 233, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "model", "type": "BaseModel"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _get_model_config(model: BaseModel) -> Any:", "body_source": "def _get_model_config(model: BaseModel) -> Any:\n return model.__config__ # type: ignore[attr-defined]", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_get_model_config"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:get_schema_from_model_field", "name": "get_schema_from_model_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 236, "end_line": 247, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_schema_from_model_field(", "body_source": "def get_schema_from_model_field(\n *,\n field: ModelField,\n model_name_map: ModelNameMap,\n field_mapping: Dict[\n Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n ],\n separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n return field_schema( # type: ignore[no-any-return]\n field, model_name_map=model_name_map, ref_prefix=REF_PREFIX\n )[0]", "complexity": 0, "lines_of_code": 11, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_schema_from_model_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:get_definitions", "name": "get_definitions", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 255, "end_line": 265, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Tuple[Dict[Tuple[ModelField, Literal['validation', 'serialization']], JsonSchemaValue], Dict[str, Dict[str, Any]]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_definitions(", "body_source": "def get_definitions(\n *,\n fields: List[ModelField],\n model_name_map: ModelNameMap,\n separate_input_output_schemas: bool = True,\n) -> Tuple[\n Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n Dict[str, Dict[str, Any]],\n]:\n models = get_flat_models_from_fields(fields, known_models=set())\n return {}, get_model_definitions(flat_models=models, model_name_map=model_name_map)", "complexity": 0, "lines_of_code": 10, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_definitions"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:is_scalar_field", "name": "is_scalar_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 268, "end_line": 269, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_scalar_field(field: ModelField) -> bool:", "body_source": "def is_scalar_field(field: ModelField) -> bool:\n return is_pv1_scalar_field(field)", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_scalar_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:is_sequence_field", "name": "is_sequence_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", "start_line": 272, "end_line": 273, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_sequence_field(field: ModelField) -> bool:", "body_source": "def is_sequence_field(field: ModelField) -> bool:\n return field.shape in sequence_shapes or shared._annotation_is_sequence(field.type_)", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_sequence_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py:is_scalar_sequence_field", "name": "is_scalar_sequence_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v1.py", 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"return_type": "List[Dict[str, Any]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _normalize_errors(errors: Sequence[Any]) -> List[Dict[str, Any]]:", "body_source": "def _normalize_errors(errors: Sequence[Any]) -> List[Dict[str, Any]]:\n use_errors: List[Any] = []\n for error in errors:\n if isinstance(error, ErrorWrapper):\n new_errors = ValidationError( # type: ignore[call-arg]\n errors=[error], model=RequestErrorModel\n ).errors()\n use_errors.extend(new_errors)\n elif isinstance(error, list):\n use_errors.extend(_normalize_errors(error))\n else:\n use_errors.append(error)\n return use_errors", "complexity": 0, "lines_of_code": 12, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_normalize_errors"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/may_v1.py:_regenerate_error_with_loc", "name": "_regenerate_error_with_loc", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/may_v1.py", "start_line": 115, "end_line": 123, "role": "Exception", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "List[Dict[str, Any]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _regenerate_error_with_loc(", "body_source": "def _regenerate_error_with_loc(\n *, errors: Sequence[Any], loc_prefix: Tuple[Union[str, int], ...]\n) -> List[Dict[str, Any]]:\n updated_loc_errors: List[Any] = [\n {**err, \"loc\": loc_prefix + err.get(\"loc\", ())}\n for err in _normalize_errors(errors)\n ]\n\n return updated_loc_errors", "complexity": 0, "lines_of_code": 8, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_regenerate_error_with_loc"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:lenient_issubclass", "name": "lenient_issubclass", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 66, "end_line": 74, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "cls", "type": "Any"}, {"name": "class_or_tuple", "type": "Union[Type[Any], Tuple[Type[Any], ...], None]"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def lenient_issubclass(", "body_source": "def lenient_issubclass(\n cls: Any, class_or_tuple: Union[Type[Any], Tuple[Type[Any], ...], None]\n) -> bool:\n try:\n return isinstance(cls, type) and issubclass(cls, class_or_tuple) # type: ignore[arg-type]\n except TypeError: # pragma: no cover\n if isinstance(cls, WithArgsTypes):\n return False\n raise # pragma: no cover", "complexity": 0, "lines_of_code": 8, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "lenient_issubclass"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:_annotation_is_sequence", "name": "_annotation_is_sequence", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 77, "end_line": 80, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Union[Type[Any], None]"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:", "body_source": "def _annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:\n if lenient_issubclass(annotation, (str, bytes)):\n return False\n return lenient_issubclass(annotation, sequence_types) # type: ignore[arg-type]", "complexity": 0, "lines_of_code": 3, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_annotation_is_sequence"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:field_annotation_is_sequence", "name": "field_annotation_is_sequence", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 83, "end_line": 92, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Union[Type[Any], None]"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def field_annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:", "body_source": "def field_annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n for arg in get_args(annotation):\n if field_annotation_is_sequence(arg):\n return True\n return False\n return _annotation_is_sequence(annotation) or _annotation_is_sequence(\n get_origin(annotation)\n )", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "field_annotation_is_sequence"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:value_is_sequence", "name": "value_is_sequence", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 95, "end_line": 96, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "value", "type": "Any"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def value_is_sequence(value: Any) -> bool:", "body_source": "def value_is_sequence(value: Any) -> bool:\n return isinstance(value, sequence_types) and not isinstance(value, (str, bytes)) # type: ignore[arg-type]", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "value_is_sequence"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:_annotation_is_complex", "name": "_annotation_is_complex", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 99, "end_line": 106, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Union[Type[Any], None]"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:", "body_source": "def _annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:\n return (\n lenient_issubclass(\n annotation, (BaseModel, may_v1.BaseModel, Mapping, UploadFile)\n )\n or _annotation_is_sequence(annotation)\n or is_dataclass(annotation)\n )", "complexity": 0, "lines_of_code": 7, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_annotation_is_complex"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:field_annotation_is_complex", "name": "field_annotation_is_complex", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 109, "end_line": 122, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Union[Type[Any], None]"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def field_annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:", "body_source": "def field_annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n return any(field_annotation_is_complex(arg) for arg in get_args(annotation))\n\n if origin is Annotated:\n return field_annotation_is_complex(get_args(annotation)[0])\n\n return (\n _annotation_is_complex(annotation)\n or _annotation_is_complex(origin)\n or hasattr(origin, \"__pydantic_core_schema__\")\n or hasattr(origin, \"__get_pydantic_core_schema__\")\n )", "complexity": 0, "lines_of_code": 13, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "field_annotation_is_complex"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:field_annotation_is_scalar", "name": "field_annotation_is_scalar", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 125, "end_line": 127, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Any"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def field_annotation_is_scalar(annotation: Any) -> bool:", "body_source": "def field_annotation_is_scalar(annotation: Any) -> bool:\n # handle Ellipsis here to make tuple[int, ...] work nicely\n return annotation is Ellipsis or not field_annotation_is_complex(annotation)", "complexity": 0, "lines_of_code": 2, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "field_annotation_is_scalar"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:field_annotation_is_scalar_sequence", "name": "field_annotation_is_scalar_sequence", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 130, "end_line": 144, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Union[Type[Any], None]"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def field_annotation_is_scalar_sequence(annotation: Union[Type[Any], None]) -> bool:", "body_source": "def field_annotation_is_scalar_sequence(annotation: Union[Type[Any], None]) -> bool:\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n at_least_one_scalar_sequence = False\n for arg in get_args(annotation):\n if field_annotation_is_scalar_sequence(arg):\n at_least_one_scalar_sequence = True\n continue\n elif not field_annotation_is_scalar(arg):\n return False\n return at_least_one_scalar_sequence\n return field_annotation_is_sequence(annotation) and all(\n field_annotation_is_scalar(sub_annotation)\n for sub_annotation in get_args(annotation)\n )", "complexity": 0, "lines_of_code": 14, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "field_annotation_is_scalar_sequence"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:is_bytes_or_nonable_bytes_annotation", "name": "is_bytes_or_nonable_bytes_annotation", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 147, "end_line": 155, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Any"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_bytes_or_nonable_bytes_annotation(annotation: Any) -> bool:", "body_source": "def is_bytes_or_nonable_bytes_annotation(annotation: Any) -> bool:\n if lenient_issubclass(annotation, bytes):\n return True\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n for arg in get_args(annotation):\n if lenient_issubclass(arg, bytes):\n return True\n return False", "complexity": 0, "lines_of_code": 8, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_bytes_or_nonable_bytes_annotation"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:is_uploadfile_or_nonable_uploadfile_annotation", "name": "is_uploadfile_or_nonable_uploadfile_annotation", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 158, "end_line": 166, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Any"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_uploadfile_or_nonable_uploadfile_annotation(annotation: Any) -> bool:", "body_source": "def is_uploadfile_or_nonable_uploadfile_annotation(annotation: Any) -> bool:\n if lenient_issubclass(annotation, UploadFile):\n return True\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n for arg in get_args(annotation):\n if lenient_issubclass(arg, UploadFile):\n return True\n return False", "complexity": 0, "lines_of_code": 8, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_uploadfile_or_nonable_uploadfile_annotation"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:is_bytes_sequence_annotation", "name": "is_bytes_sequence_annotation", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 169, "end_line": 181, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Any"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_bytes_sequence_annotation(annotation: Any) -> bool:", "body_source": "def is_bytes_sequence_annotation(annotation: Any) -> bool:\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n at_least_one = False\n for arg in get_args(annotation):\n if is_bytes_sequence_annotation(arg):\n at_least_one = True\n continue\n return at_least_one\n return field_annotation_is_sequence(annotation) and all(\n is_bytes_or_nonable_bytes_annotation(sub_annotation)\n for sub_annotation in get_args(annotation)\n )", "complexity": 0, "lines_of_code": 12, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_bytes_sequence_annotation"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:is_uploadfile_sequence_annotation", "name": "is_uploadfile_sequence_annotation", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 184, "end_line": 196, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Any"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_uploadfile_sequence_annotation(annotation: Any) -> bool:", "body_source": "def is_uploadfile_sequence_annotation(annotation: Any) -> bool:\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n at_least_one = False\n for arg in get_args(annotation):\n if is_uploadfile_sequence_annotation(arg):\n at_least_one = True\n continue\n return at_least_one\n return field_annotation_is_sequence(annotation) and all(\n is_uploadfile_or_nonable_uploadfile_annotation(sub_annotation)\n for sub_annotation in get_args(annotation)\n )", "complexity": 0, "lines_of_code": 12, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_uploadfile_sequence_annotation"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py:annotation_is_pydantic_v1", "name": "annotation_is_pydantic_v1", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/shared.py", "start_line": 199, "end_line": 211, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Any"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def annotation_is_pydantic_v1(annotation: Any) -> bool:", "body_source": "def annotation_is_pydantic_v1(annotation: Any) -> bool:\n if lenient_issubclass(annotation, may_v1.BaseModel):\n return True\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n for arg in get_args(annotation):\n if lenient_issubclass(arg, may_v1.BaseModel):\n return True\n if field_annotation_is_sequence(annotation):\n for sub_annotation in get_args(annotation):\n if annotation_is_pydantic_v1(sub_annotation):\n return True\n return False", "complexity": 0, "lines_of_code": 12, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "annotation_is_pydantic_v1"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py:ModelField", "name": "ModelField", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py", "start_line": 14, "end_line": 14, "role": "Entity", 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"docstring": "", "signature": "def alias(self) -> str: ...", "body_source": " def alias(self) -> str: ...", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "alias"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py:ModelField.required", "name": "ModelField.required", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py", "start_line": 24, "end_line": 24, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "bool", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def required(self) -> bool: ...", "body_source": " def required(self) -> bool: ...", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "required"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py:ModelField.default", "name": "ModelField.default", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py", "start_line": 27, "end_line": 27, "role": "Controller", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "Any", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def default(self) -> Any: ...", "body_source": " def default(self) -> Any: ...", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "presentation", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "default"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py:ModelField.type_", "name": "ModelField.type_", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py", "start_line": 30, "end_line": 30, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "Any", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def type_(self) -> Any: ...", "body_source": " def type_(self) -> Any: ...", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "type_"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py:ModelField.get_default", "name": "ModelField.get_default", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py", "start_line": 32, "end_line": 32, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_default(self) -> Any: ...", "body_source": " def get_default(self) -> Any: ...", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "get_default"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py:ModelField.validate", "name": "ModelField.validate", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py", "start_line": 34, "end_line": 40, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "value", "type": "Any"}, {"name": "values", "type": "Dict[str, Any]", "default": "{}"}], "return_type": "Tuple[Any, Union[List[Dict[str, Any]], None]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def validate(", "body_source": " def validate(\n self,\n value: Any,\n values: Dict[str, Any] = {}, # noqa: B006\n *,\n loc: Tuple[Union[int, str], ...] = (),\n ) -> Tuple[Any, Union[List[Dict[str, Any]], None]]: ...", "complexity": 0, "lines_of_code": 6, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "validate"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py:ModelField.serialize", "name": "ModelField.serialize", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/model_field.py", "start_line": 42, "end_line": 53, "role": "Utility", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "value", "type": "Any"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def serialize(", "body_source": " def serialize(\n self,\n value: Any,\n *,\n mode: Literal[\"json\", \"python\"] = \"json\",\n include: Union[IncEx, None] = None,\n exclude: Union[IncEx, None] = None,\n by_alias: bool = True,\n exclude_unset: bool = False,\n exclude_defaults: bool = False,\n exclude_none: bool = False,\n ) -> Any: ...", "complexity": 0, "lines_of_code": 11, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "serialize"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:get_cached_model_fields", "name": "get_cached_model_fields", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 53, "end_line": 61, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "model", "type": "Type[BaseModel]"}], "return_type": "List[ModelField]", "base_classes": [], "decorators": ["lru_cache"], "docstring": "", "signature": "def get_cached_model_fields(model: Type[BaseModel]) -> List[ModelField]:", "body_source": "def get_cached_model_fields(model: Type[BaseModel]) -> List[ModelField]:\n if lenient_issubclass(model, may_v1.BaseModel):\n from fastapi._compat import v1\n\n return v1.get_model_fields(model)\n else:\n from . import v2\n\n return v2.get_model_fields(model) # type: ignore[return-value]", "complexity": 0, "lines_of_code": 8, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_cached_model_fields"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:_is_undefined", "name": "_is_undefined", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 64, "end_line": 71, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "value", "type": "object"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _is_undefined(value: object) -> bool:", "body_source": "def _is_undefined(value: object) -> bool:\n if isinstance(value, may_v1.UndefinedType):\n return True\n elif PYDANTIC_V2:\n from . import v2\n\n return isinstance(value, v2.UndefinedType)\n return False", "complexity": 0, "lines_of_code": 7, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_is_undefined"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:_get_model_config", "name": "_get_model_config", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 74, "end_line": 82, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "model", "type": "BaseModel"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _get_model_config(model: BaseModel) -> Any:", "body_source": "def _get_model_config(model: BaseModel) -> Any:\n if isinstance(model, may_v1.BaseModel):\n from fastapi._compat import v1\n\n return v1._get_model_config(model)\n elif PYDANTIC_V2:\n from . import v2\n\n return v2._get_model_config(model)", "complexity": 0, "lines_of_code": 8, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_get_model_config"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:_model_dump", "name": "_model_dump", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 85, "end_line": 95, "role": "Internal", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [{"name": "model", "type": "BaseModel"}, {"name": "mode", "type": "Literal['json', 'python']", "default": "'json'"}, {"name": "**kwargs", "type": "Any"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _model_dump(", "body_source": "def _model_dump(\n model: BaseModel, mode: Literal[\"json\", \"python\"] = \"json\", **kwargs: Any\n) -> Any:\n if isinstance(model, may_v1.BaseModel):\n from fastapi._compat import v1\n\n return v1._model_dump(model, mode=mode, **kwargs)\n elif PYDANTIC_V2:\n from . import v2\n\n return v2._model_dump(model, mode=mode, **kwargs)", "complexity": 0, "lines_of_code": 10, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_model_dump"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:_is_error_wrapper", "name": "_is_error_wrapper", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 98, "end_line": 105, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "exc", "type": "Exception"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _is_error_wrapper(exc: Exception) -> bool:", "body_source": "def _is_error_wrapper(exc: Exception) -> bool:\n if isinstance(exc, may_v1.ErrorWrapper):\n return True\n elif PYDANTIC_V2:\n from . import v2\n\n return isinstance(exc, v2.ErrorWrapper)\n return False", "complexity": 0, "lines_of_code": 7, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_is_error_wrapper"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:copy_field_info", "name": "copy_field_info", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 108, "end_line": 117, "role": "Query", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "FieldInfo", "base_classes": [], "decorators": [], "docstring": "", "signature": "def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:", "body_source": "def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:\n if isinstance(field_info, may_v1.FieldInfo):\n from fastapi._compat import v1\n\n return v1.copy_field_info(field_info=field_info, annotation=annotation)\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.copy_field_info(field_info=field_info, annotation=annotation)", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "copy_field_info"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:create_body_model", "name": "create_body_model", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 120, "end_line": 131, "role": "Factory", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Type[BaseModel]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def create_body_model(", "body_source": "def create_body_model(\n *, fields: Sequence[ModelField], model_name: str\n) -> Type[BaseModel]:\n if fields and isinstance(fields[0], may_v1.ModelField):\n from fastapi._compat import v1\n\n return v1.create_body_model(fields=fields, model_name=model_name)\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.create_body_model(fields=fields, model_name=model_name) # type: ignore[arg-type]", "complexity": 0, "lines_of_code": 11, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "create_body_model"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:get_annotation_from_field_info", "name": "get_annotation_from_field_info", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 134, "end_line": 149, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Any"}, {"name": "field_info", "type": "FieldInfo"}, {"name": "field_name", "type": "str"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_annotation_from_field_info(", "body_source": "def get_annotation_from_field_info(\n annotation: Any, field_info: FieldInfo, field_name: str\n) -> Any:\n if isinstance(field_info, may_v1.FieldInfo):\n from fastapi._compat import v1\n\n return v1.get_annotation_from_field_info(\n annotation=annotation, field_info=field_info, field_name=field_name\n )\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.get_annotation_from_field_info(\n annotation=annotation, field_info=field_info, field_name=field_name\n )", "complexity": 0, "lines_of_code": 15, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_annotation_from_field_info"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:is_bytes_field", "name": "is_bytes_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 152, "end_line": 161, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_bytes_field(field: ModelField) -> bool:", "body_source": "def is_bytes_field(field: ModelField) -> bool:\n if isinstance(field, may_v1.ModelField):\n from fastapi._compat import v1\n\n return v1.is_bytes_field(field)\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.is_bytes_field(field) # type: ignore[arg-type]", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_bytes_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:is_bytes_sequence_field", "name": "is_bytes_sequence_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 164, "end_line": 173, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_bytes_sequence_field(field: ModelField) -> bool:", "body_source": "def is_bytes_sequence_field(field: ModelField) -> bool:\n if isinstance(field, may_v1.ModelField):\n from fastapi._compat import v1\n\n return v1.is_bytes_sequence_field(field)\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.is_bytes_sequence_field(field) # type: ignore[arg-type]", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_bytes_sequence_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:is_scalar_field", "name": "is_scalar_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 176, "end_line": 185, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_scalar_field(field: ModelField) -> bool:", "body_source": "def is_scalar_field(field: ModelField) -> bool:\n if isinstance(field, may_v1.ModelField):\n from fastapi._compat import v1\n\n return v1.is_scalar_field(field)\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.is_scalar_field(field) # type: ignore[arg-type]", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_scalar_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:is_scalar_sequence_field", "name": "is_scalar_sequence_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 188, "end_line": 197, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_scalar_sequence_field(field: ModelField) -> bool:", "body_source": "def is_scalar_sequence_field(field: ModelField) -> bool:\n if isinstance(field, may_v1.ModelField):\n from fastapi._compat import v1\n\n return v1.is_scalar_sequence_field(field)\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.is_scalar_sequence_field(field) # type: ignore[arg-type]", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_scalar_sequence_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:is_sequence_field", "name": "is_sequence_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 200, "end_line": 209, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_sequence_field(field: ModelField) -> bool:", "body_source": "def is_sequence_field(field: ModelField) -> bool:\n if isinstance(field, may_v1.ModelField):\n from fastapi._compat import v1\n\n return v1.is_sequence_field(field)\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.is_sequence_field(field) # type: ignore[arg-type]", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_sequence_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:serialize_sequence_value", "name": "serialize_sequence_value", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 212, "end_line": 221, "role": "Utility", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Sequence[Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:", "body_source": "def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:\n if isinstance(field, may_v1.ModelField):\n from fastapi._compat import v1\n\n return v1.serialize_sequence_value(field=field, value=value)\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.serialize_sequence_value(field=field, value=value) # type: ignore[arg-type]", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "serialize_sequence_value"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:_model_rebuild", "name": "_model_rebuild", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 224, "end_line": 232, "role": "Internal", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [{"name": "model", "type": "Type[BaseModel]"}], "return_type": "None", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _model_rebuild(model: Type[BaseModel]) -> None:", "body_source": "def _model_rebuild(model: Type[BaseModel]) -> None:\n if lenient_issubclass(model, may_v1.BaseModel):\n from fastapi._compat import v1\n\n v1._model_rebuild(model)\n elif PYDANTIC_V2:\n from . import v2\n\n v2._model_rebuild(model)", "complexity": 0, "lines_of_code": 8, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_model_rebuild"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:get_compat_model_name_map", "name": "get_compat_model_name_map", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 235, "end_line": 264, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "fields", "type": "List[ModelField]"}], "return_type": "ModelNameMap", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_compat_model_name_map(fields: List[ModelField]) -> ModelNameMap:", "body_source": "def get_compat_model_name_map(fields: List[ModelField]) -> ModelNameMap:\n v1_model_fields = [\n field for field in fields if isinstance(field, may_v1.ModelField)\n ]\n if v1_model_fields:\n from fastapi._compat import v1\n\n v1_flat_models = v1.get_flat_models_from_fields(\n v1_model_fields, known_models=set()\n )\n all_flat_models = v1_flat_models\n else:\n all_flat_models = set()\n if PYDANTIC_V2:\n from . import v2\n\n v2_model_fields = [\n field for field in fields if isinstance(field, v2.ModelField)\n ]\n v2_flat_models = v2.get_flat_models_from_fields(\n v2_model_fields, known_models=set()\n )\n all_flat_models = all_flat_models.union(v2_flat_models)\n\n model_name_map = v2.get_model_name_map(all_flat_models)\n return model_name_map\n from fastapi._compat import v1\n\n model_name_map = v1.get_model_name_map(all_flat_models)\n return model_name_map", "complexity": 0, "lines_of_code": 29, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_compat_model_name_map"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:get_definitions", "name": "get_definitions", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 267, "end_line": 311, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Tuple[Dict[Tuple[ModelField, Literal['validation', 'serialization']], may_v1.JsonSchemaValue], Dict[str, Dict[str, Any]]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_definitions(", "body_source": "def get_definitions(\n *,\n fields: List[ModelField],\n model_name_map: ModelNameMap,\n separate_input_output_schemas: bool = True,\n) -> Tuple[\n Dict[\n Tuple[ModelField, Literal[\"validation\", \"serialization\"]],\n may_v1.JsonSchemaValue,\n ],\n Dict[str, Dict[str, Any]],\n]:\n if sys.version_info < (3, 14):\n v1_fields = [field for field in fields if isinstance(field, may_v1.ModelField)]\n v1_field_maps, v1_definitions = may_v1.get_definitions(\n fields=v1_fields,\n model_name_map=model_name_map,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n if not PYDANTIC_V2:\n return v1_field_maps, v1_definitions\n else:\n from . import v2\n\n v2_fields = [field for field in fields if isinstance(field, v2.ModelField)]\n v2_field_maps, v2_definitions = v2.get_definitions(\n fields=v2_fields,\n model_name_map=model_name_map,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n all_definitions = {**v1_definitions, **v2_definitions}\n all_field_maps = {**v1_field_maps, **v2_field_maps}\n return all_field_maps, all_definitions\n\n # Pydantic v1 is not supported since Python 3.14\n else:\n from . import v2\n\n v2_fields = [field for field in fields if isinstance(field, v2.ModelField)]\n v2_field_maps, v2_definitions = v2.get_definitions(\n fields=v2_fields,\n model_name_map=model_name_map,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n return v2_field_maps, v2_definitions", "complexity": 0, "lines_of_code": 44, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_definitions"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:get_schema_from_model_field", "name": "get_schema_from_model_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 314, "end_line": 342, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_schema_from_model_field(", "body_source": "def get_schema_from_model_field(\n *,\n field: ModelField,\n model_name_map: ModelNameMap,\n field_mapping: Dict[\n Tuple[ModelField, Literal[\"validation\", \"serialization\"]],\n may_v1.JsonSchemaValue,\n ],\n separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n if isinstance(field, may_v1.ModelField):\n from fastapi._compat import v1\n\n return v1.get_schema_from_model_field(\n field=field,\n model_name_map=model_name_map,\n field_mapping=field_mapping,\n separate_input_output_schemas=separate_input_output_schemas,\n )\n else:\n assert PYDANTIC_V2\n from . import v2\n\n return v2.get_schema_from_model_field(\n field=field, # type: ignore[arg-type]\n model_name_map=model_name_map,\n field_mapping=field_mapping, # type: ignore[arg-type]\n separate_input_output_schemas=separate_input_output_schemas,\n )", "complexity": 0, "lines_of_code": 28, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_schema_from_model_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:_is_model_field", "name": "_is_model_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 345, "end_line": 352, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "value", "type": "Any"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _is_model_field(value: Any) -> bool:", "body_source": "def _is_model_field(value: Any) -> bool:\n if isinstance(value, may_v1.ModelField):\n return True\n elif PYDANTIC_V2:\n from . import v2\n\n return isinstance(value, v2.ModelField)\n return False", "complexity": 0, "lines_of_code": 7, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_is_model_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py:_is_model_class", "name": "_is_model_class", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/main.py", "start_line": 355, "end_line": 362, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "value", "type": "Any"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _is_model_class(value: Any) -> bool:", "body_source": "def _is_model_class(value: Any) -> bool:\n if lenient_issubclass(value, may_v1.BaseModel):\n return True\n elif PYDANTIC_V2:\n from . import v2\n\n return lenient_issubclass(value, v2.BaseModel) # type: ignore[attr-defined]\n return False", "complexity": 0, "lines_of_code": 7, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_is_model_class"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:asdict", "name": "asdict", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 80, "end_line": 90, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "field_info", "type": "FieldInfo"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def asdict(field_info: FieldInfo) -> Dict[str, Any]:", "body_source": "def asdict(field_info: FieldInfo) -> Dict[str, Any]:\n attributes = {}\n for attr in _Attrs:\n value = getattr(field_info, attr, Undefined)\n if value is not Undefined:\n attributes[attr] = value\n return {\n \"annotation\": field_info.annotation,\n \"metadata\": field_info.metadata,\n \"attributes\": attributes,\n }", "complexity": 0, "lines_of_code": 10, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "asdict"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:BaseConfig", "name": "BaseConfig", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 93, "end_line": 93, "role": "Configuration", "role_confidence": 75.0, "discovery_method": "pattern", "params": [], "return_type": "", "base_classes": [], "decorators": [], "docstring": "", "signature": "class BaseConfig:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "BaseConfig"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ErrorWrapper", "name": "ErrorWrapper", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 97, "end_line": 97, "role": "Exception", "role_confidence": 75.0, "discovery_method": "pattern", "params": [], "return_type": "", "base_classes": ["Exception"], "decorators": [], "docstring": "", "signature": "class ErrorWrapper(Exception):", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "ErrorWrapper"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField", "name": "ModelField", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 102, "end_line": 102, "role": "Entity", "role_confidence": 75.0, "discovery_method": "pattern", "params": [], "return_type": "", "base_classes": [], "decorators": ["dataclass"], "docstring": "", "signature": "class ModelField:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "ModelField"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.alias", "name": "ModelField.alias", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 109, "end_line": 111, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "str", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def alias(self) -> str:", "body_source": " def alias(self) -> str:\n a = self.field_info.alias\n return a if a is not None else self.name", "complexity": 0, "lines_of_code": 2, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "alias"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.validation_alias", "name": "ModelField.validation_alias", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 114, "end_line": 118, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "Union[str, None]", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def validation_alias(self) -> Union[str, None]:", "body_source": " def validation_alias(self) -> Union[str, None]:\n va = self.field_info.validation_alias\n if isinstance(va, str) and va:\n return va\n return None", "complexity": 0, "lines_of_code": 4, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "validation_alias"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.serialization_alias", "name": "ModelField.serialization_alias", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 121, "end_line": 123, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "Union[str, None]", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def serialization_alias(self) -> Union[str, None]:", "body_source": " def serialization_alias(self) -> Union[str, None]:\n sa = self.field_info.serialization_alias\n return sa or None", "complexity": 0, "lines_of_code": 2, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "serialization_alias"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.required", "name": "ModelField.required", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 126, "end_line": 127, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "bool", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def required(self) -> bool:", "body_source": " def required(self) -> bool:\n return self.field_info.is_required()", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "required"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.default", "name": "ModelField.default", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 130, "end_line": 131, "role": "Controller", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "Any", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def default(self) -> Any:", "body_source": " def default(self) -> Any:\n return self.get_default()", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "presentation", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "default"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.type_", "name": "ModelField.type_", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 134, "end_line": 135, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "Any", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def type_(self) -> Any:", "body_source": " def type_(self) -> Any:\n return self.field_info.annotation", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "type_"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.__post_init__", "name": "ModelField.__post_init__", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 137, "end_line": 162, "role": "ApplicationService", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}], "return_type": "None", "base_classes": [], "decorators": [], "docstring": "", "signature": "def __post_init__(self) -> None:", "body_source": " def __post_init__(self) -> None:\n with warnings.catch_warnings():\n # Pydantic >= 2.12.0 warns about field specific metadata that is unused\n # (e.g. `TypeAdapter(Annotated[int, Field(alias='b')])`). In some cases, we\n # end up building the type adapter from a model field annotation so we\n # need to ignore the warning:\n if shared.PYDANTIC_VERSION_MINOR_TUPLE >= (2, 12):\n from pydantic.warnings import UnsupportedFieldAttributeWarning\n\n warnings.simplefilter(\n \"ignore\", category=UnsupportedFieldAttributeWarning\n )\n # TODO: remove after dropping support for Python 3.8 and\n # setting the min Pydantic to v2.12.3 that adds asdict()\n field_dict = asdict(self.field_info)\n annotated_args = (\n field_dict[\"annotation\"],\n *field_dict[\"metadata\"],\n # this FieldInfo needs to be created again so that it doesn't include\n # the old field info metadata and only the rest of the attributes\n Field(**field_dict[\"attributes\"]),\n )\n self._type_adapter: TypeAdapter[Any] = TypeAdapter(\n Annotated[annotated_args],\n config=self.config,\n )", "complexity": 0, "lines_of_code": 25, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "__post_init__"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.get_default", "name": "ModelField.get_default", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 164, "end_line": 167, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_default(self) -> Any:", "body_source": " def get_default(self) -> Any:\n if self.field_info.is_required():\n return Undefined\n return self.field_info.get_default(call_default_factory=True)", "complexity": 0, "lines_of_code": 3, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "get_default"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.validate", "name": "ModelField.validate", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 169, "end_line": 184, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "value", "type": "Any"}, {"name": "values", "type": "Dict[str, Any]", "default": "{}"}], "return_type": "Tuple[Any, Union[List[Dict[str, Any]], None]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def validate(", "body_source": " def validate(\n self,\n value: Any,\n values: Dict[str, Any] = {}, # noqa: B006\n *,\n loc: Tuple[Union[int, str], ...] = (),\n ) -> Tuple[Any, Union[List[Dict[str, Any]], None]]:\n try:\n return (\n self._type_adapter.validate_python(value, from_attributes=True),\n None,\n )\n except ValidationError as exc:\n return None, may_v1._regenerate_error_with_loc(\n errors=exc.errors(include_url=False), loc_prefix=loc\n )", "complexity": 0, "lines_of_code": 15, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "validate"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.serialize", "name": "ModelField.serialize", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 186, "end_line": 209, "role": "Utility", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "value", "type": "Any"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def serialize(", "body_source": " def serialize(\n self,\n value: Any,\n *,\n mode: Literal[\"json\", \"python\"] = \"json\",\n include: Union[IncEx, None] = None,\n exclude: Union[IncEx, None] = None,\n by_alias: bool = True,\n exclude_unset: bool = False,\n exclude_defaults: bool = False,\n exclude_none: bool = False,\n ) -> Any:\n # What calls this code passes a value that already called\n # self._type_adapter.validate_python(value)\n return self._type_adapter.dump_python(\n value,\n mode=mode,\n include=include,\n exclude=exclude,\n by_alias=by_alias,\n exclude_unset=exclude_unset,\n exclude_defaults=exclude_defaults,\n exclude_none=exclude_none,\n )", "complexity": 0, "lines_of_code": 23, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "serialize"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:ModelField.__hash__", "name": "ModelField.__hash__", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 211, "end_line": 214, "role": "Utility", "role_confidence": 95.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "int", "base_classes": [], "decorators": [], "docstring": "", "signature": "def __hash__(self) -> int:", "body_source": " def __hash__(self) -> int:\n # Each ModelField is unique for our purposes, to allow making a dict from\n # ModelField to its JSON Schema.\n return id(self)", "complexity": 0, "lines_of_code": 3, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "__hash__"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_annotation_from_field_info", "name": "get_annotation_from_field_info", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 217, "end_line": 220, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Any"}, {"name": "field_info", "type": "FieldInfo"}, {"name": "field_name", "type": "str"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_annotation_from_field_info(", "body_source": "def get_annotation_from_field_info(\n annotation: Any, field_info: FieldInfo, field_name: str\n) -> Any:\n return annotation", "complexity": 0, "lines_of_code": 3, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_annotation_from_field_info"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:_model_rebuild", "name": "_model_rebuild", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 223, "end_line": 224, "role": "Internal", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [{"name": "model", "type": "Type[BaseModel]"}], "return_type": "None", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _model_rebuild(model: Type[BaseModel]) -> None:", "body_source": "def _model_rebuild(model: Type[BaseModel]) -> None:\n model.model_rebuild()", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_model_rebuild"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:_model_dump", "name": "_model_dump", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 227, "end_line": 230, "role": "Internal", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [{"name": "model", "type": "BaseModel"}, {"name": "mode", "type": "Literal['json', 'python']", "default": "'json'"}, {"name": "**kwargs", "type": "Any"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _model_dump(", "body_source": "def _model_dump(\n model: BaseModel, mode: Literal[\"json\", \"python\"] = \"json\", **kwargs: Any\n) -> Any:\n return model.model_dump(mode=mode, **kwargs)", "complexity": 0, "lines_of_code": 3, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_model_dump"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:_get_model_config", "name": "_get_model_config", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 233, "end_line": 234, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "model", "type": "BaseModel"}], "return_type": "Any", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _get_model_config(model: BaseModel) -> Any:", "body_source": "def _get_model_config(model: BaseModel) -> Any:\n return model.model_config", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_get_model_config"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:_has_computed_fields", "name": "_has_computed_fields", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 237, "end_line": 241, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _has_computed_fields(field: ModelField) -> bool:", "body_source": "def _has_computed_fields(field: ModelField) -> bool:\n computed_fields = field._type_adapter.core_schema.get(\"schema\", {}).get(\n \"computed_fields\", []\n )\n return len(computed_fields) > 0", "complexity": 0, "lines_of_code": 4, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_has_computed_fields"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_schema_from_model_field", "name": "get_schema_from_model_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 244, "end_line": 272, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_schema_from_model_field(", "body_source": "def get_schema_from_model_field(\n *,\n field: ModelField,\n model_name_map: ModelNameMap,\n field_mapping: Dict[\n Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n ],\n separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n override_mode: Union[Literal[\"validation\"], None] = (\n None\n if (separate_input_output_schemas or _has_computed_fields(field))\n else \"validation\"\n )\n field_alias = (\n (field.validation_alias or field.alias)\n if field.mode == \"validation\"\n else (field.serialization_alias or field.alias)\n )\n\n # This expects that GenerateJsonSchema was already used to generate the definitions\n json_schema = field_mapping[(field, override_mode or field.mode)]\n if \"$ref\" not in json_schema:\n # TODO remove when deprecating Pydantic v1\n # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207\n json_schema[\"title\"] = field.field_info.title or field_alias.title().replace(\n \"_\", \" \"\n )\n return json_schema", "complexity": 0, "lines_of_code": 28, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_schema_from_model_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_definitions", "name": "get_definitions", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 275, "end_line": 336, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Tuple[Dict[Tuple[ModelField, Literal['validation', 'serialization']], JsonSchemaValue], Dict[str, Dict[str, Any]]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_definitions(", "body_source": "def get_definitions(\n *,\n fields: Sequence[ModelField],\n model_name_map: ModelNameMap,\n separate_input_output_schemas: bool = True,\n) -> Tuple[\n Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n Dict[str, Dict[str, Any]],\n]:\n schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n validation_fields = [field for field in fields if field.mode == \"validation\"]\n serialization_fields = [field for field in fields if field.mode == \"serialization\"]\n flat_validation_models = get_flat_models_from_fields(\n validation_fields, known_models=set()\n )\n flat_serialization_models = get_flat_models_from_fields(\n serialization_fields, known_models=set()\n )\n flat_validation_model_fields = [\n ModelField(\n field_info=FieldInfo(annotation=model),\n name=model.__name__,\n mode=\"validation\",\n )\n for model in flat_validation_models\n ]\n flat_serialization_model_fields = [\n ModelField(\n field_info=FieldInfo(annotation=model),\n name=model.__name__,\n mode=\"serialization\",\n )\n for model in flat_serialization_models\n ]\n flat_model_fields = flat_validation_model_fields + flat_serialization_model_fields\n input_types = {f.type_ for f in fields}\n unique_flat_model_fields = {\n f for f in flat_model_fields if f.type_ not in input_types\n }\n inputs = [\n (\n field,\n (\n field.mode\n if (separate_input_output_schemas or _has_computed_fields(field))\n else \"validation\"\n ),\n field._type_adapter.core_schema,\n )\n for field in list(fields) + list(unique_flat_model_fields)\n ]\n field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n if \"description\" in item_def:\n item_description = cast(str, item_def[\"description\"]).split(\"\\f\")[0]\n item_def[\"description\"] = item_description\n new_mapping, new_definitions = _remap_definitions_and_field_mappings(\n model_name_map=model_name_map,\n definitions=definitions, # type: ignore[arg-type]\n field_mapping=field_mapping,\n )\n return new_mapping, new_definitions", "complexity": 0, "lines_of_code": 61, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_definitions"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:_replace_refs", "name": "_replace_refs", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 339, "end_line": 372, "role": "Internal", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _replace_refs(", "body_source": "def _replace_refs(\n *,\n schema: Dict[str, Any],\n old_name_to_new_name_map: Dict[str, str],\n) -> Dict[str, Any]:\n new_schema = deepcopy(schema)\n for key, value in new_schema.items():\n if key == \"$ref\":\n value = schema[\"$ref\"]\n if isinstance(value, str):\n ref_name = schema[\"$ref\"].split(\"/\")[-1]\n if ref_name in old_name_to_new_name_map:\n new_name = old_name_to_new_name_map[ref_name]\n new_schema[\"$ref\"] = REF_TEMPLATE.format(model=new_name)\n continue\n if isinstance(value, dict):\n new_schema[key] = _replace_refs(\n schema=value,\n old_name_to_new_name_map=old_name_to_new_name_map,\n )\n elif isinstance(value, list):\n new_value = []\n for item in value:\n if isinstance(item, dict):\n new_item = _replace_refs(\n schema=item,\n old_name_to_new_name_map=old_name_to_new_name_map,\n )\n new_value.append(new_item)\n\n else:\n new_value.append(item)\n new_schema[key] = new_value\n return new_schema", "complexity": 0, "lines_of_code": 33, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_replace_refs"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:_remap_definitions_and_field_mappings", "name": "_remap_definitions_and_field_mappings", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 375, "end_line": 418, "role": "Internal", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "Tuple[Dict[Tuple[ModelField, Literal['validation', 'serialization']], JsonSchemaValue], Dict[str, Any]]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def _remap_definitions_and_field_mappings(", "body_source": "def _remap_definitions_and_field_mappings(\n *,\n model_name_map: ModelNameMap,\n definitions: Dict[str, Any],\n field_mapping: Dict[\n Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n ],\n) -> Tuple[\n Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n Dict[str, Any],\n]:\n old_name_to_new_name_map = {}\n for field_key, schema in field_mapping.items():\n model = field_key[0].type_\n if model not in model_name_map or \"$ref\" not in schema:\n continue\n new_name = model_name_map[model]\n old_name = schema[\"$ref\"].split(\"/\")[-1]\n if old_name in {f\"{new_name}-Input\", f\"{new_name}-Output\"}:\n continue\n old_name_to_new_name_map[old_name] = new_name\n\n new_field_mapping: Dict[\n Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n ] = {}\n for field_key, schema in field_mapping.items():\n new_schema = _replace_refs(\n schema=schema,\n old_name_to_new_name_map=old_name_to_new_name_map,\n )\n new_field_mapping[field_key] = new_schema\n\n new_definitions = {}\n for key, value in definitions.items():\n if key in old_name_to_new_name_map:\n new_key = old_name_to_new_name_map[key]\n else:\n new_key = key\n new_value = _replace_refs(\n schema=value,\n old_name_to_new_name_map=old_name_to_new_name_map,\n )\n new_definitions[new_key] = new_value\n return new_field_mapping, new_definitions", "complexity": 0, "lines_of_code": 43, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_remap_definitions_and_field_mappings"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:is_scalar_field", "name": "is_scalar_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 421, "end_line": 426, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_scalar_field(field: ModelField) -> bool:", "body_source": "def is_scalar_field(field: ModelField) -> bool:\n from fastapi import params\n\n return shared.field_annotation_is_scalar(\n field.field_info.annotation\n ) and not isinstance(field.field_info, params.Body)", "complexity": 0, "lines_of_code": 5, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_scalar_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:is_sequence_field", "name": "is_sequence_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 429, "end_line": 430, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_sequence_field(field: ModelField) -> bool:", "body_source": "def is_sequence_field(field: ModelField) -> bool:\n return shared.field_annotation_is_sequence(field.field_info.annotation)", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_sequence_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:is_scalar_sequence_field", "name": "is_scalar_sequence_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 433, "end_line": 434, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_scalar_sequence_field(field: ModelField) -> bool:", "body_source": "def is_scalar_sequence_field(field: ModelField) -> bool:\n return shared.field_annotation_is_scalar_sequence(field.field_info.annotation)", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_scalar_sequence_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:is_bytes_field", "name": "is_bytes_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 437, "end_line": 438, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_bytes_field(field: ModelField) -> bool:", "body_source": "def is_bytes_field(field: ModelField) -> bool:\n return shared.is_bytes_or_nonable_bytes_annotation(field.type_)", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_bytes_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:is_bytes_sequence_field", "name": "is_bytes_sequence_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 441, "end_line": 442, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}], "return_type": "bool", "base_classes": [], "decorators": [], "docstring": "", "signature": "def is_bytes_sequence_field(field: ModelField) -> bool:", "body_source": "def is_bytes_sequence_field(field: ModelField) -> bool:\n return shared.is_bytes_sequence_annotation(field.type_)", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "is_bytes_sequence_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:copy_field_info", "name": "copy_field_info", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 445, "end_line": 451, "role": "Query", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "FieldInfo", "base_classes": [], "decorators": [], "docstring": "", "signature": "def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:", "body_source": "def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:\n cls = type(field_info)\n merged_field_info = cls.from_annotation(annotation)\n new_field_info = copy(field_info)\n new_field_info.metadata = merged_field_info.metadata\n new_field_info.annotation = merged_field_info.annotation\n return new_field_info", "complexity": 0, "lines_of_code": 6, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "copy_field_info"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:serialize_sequence_value", "name": "serialize_sequence_value", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 454, "end_line": 464, "role": "Utility", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Sequence[Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:", "body_source": "def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:\n origin_type = get_origin(field.field_info.annotation) or field.field_info.annotation\n if origin_type is Union or origin_type is UnionType: # Handle optional sequences\n union_args = get_args(field.field_info.annotation)\n for union_arg in union_args:\n if union_arg is type(None):\n continue\n origin_type = get_origin(union_arg) or union_arg\n break\n assert issubclass(origin_type, shared.sequence_types) # type: ignore[arg-type]\n return shared.sequence_annotation_to_type[origin_type](value) # type: ignore[no-any-return]", "complexity": 0, "lines_of_code": 10, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "serialize_sequence_value"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_missing_field_error", "name": "get_missing_field_error", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 467, "end_line": 472, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "loc", "type": "Tuple[str, ...]"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_missing_field_error(loc: Tuple[str, ...]) -> Dict[str, Any]:", "body_source": "def get_missing_field_error(loc: Tuple[str, ...]) -> Dict[str, Any]:\n error = ValidationError.from_exception_data(\n \"Field required\", [{\"type\": \"missing\", \"loc\": loc, \"input\": {}}]\n ).errors(include_url=False)[0]\n error[\"input\"] = None\n return error # type: ignore[return-value]", "complexity": 0, "lines_of_code": 5, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_missing_field_error"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:create_body_model", "name": "create_body_model", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 475, "end_line": 480, "role": "Factory", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Type[BaseModel]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def create_body_model(", "body_source": "def create_body_model(\n *, fields: Sequence[ModelField], model_name: str\n) -> Type[BaseModel]:\n field_params = {f.name: (f.field_info.annotation, f.field_info) for f in fields}\n BodyModel: Type[BaseModel] = create_model(model_name, **field_params) # type: ignore[call-overload]\n return BodyModel", "complexity": 0, "lines_of_code": 5, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "create_body_model"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_model_fields", "name": "get_model_fields", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 483, "end_line": 498, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "model", "type": "Type[BaseModel]"}], "return_type": "List[ModelField]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_model_fields(model: Type[BaseModel]) -> List[ModelField]:", "body_source": "def get_model_fields(model: Type[BaseModel]) -> List[ModelField]:\n model_fields: List[ModelField] = []\n for name, field_info in model.model_fields.items():\n type_ = field_info.annotation\n if lenient_issubclass(type_, (BaseModel, dict)) or is_dataclass(type_):\n model_config = None\n else:\n model_config = model.model_config\n model_fields.append(\n ModelField(\n field_info=field_info,\n name=name,\n config=model_config,\n )\n )\n return model_fields", "complexity": 0, "lines_of_code": 15, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_model_fields"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:normalize_name", "name": "normalize_name", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 508, "end_line": 509, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "name", "type": "str"}], "return_type": "str", "base_classes": [], "decorators": [], "docstring": "", "signature": "def normalize_name(name: str) -> str:", "body_source": "def normalize_name(name: str) -> str:\n return re.sub(r\"[^a-zA-Z0-9.\\-_]\", \"_\", name)", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "normalize_name"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_model_name_map", "name": "get_model_name_map", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 512, "end_line": 527, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "unique_models", "type": "TypeModelSet"}], "return_type": "Dict[TypeModelOrEnum, str]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_model_name_map(unique_models: TypeModelSet) -> Dict[TypeModelOrEnum, str]:", "body_source": "def get_model_name_map(unique_models: TypeModelSet) -> Dict[TypeModelOrEnum, str]:\n name_model_map = {}\n conflicting_names: Set[str] = set()\n for model in unique_models:\n model_name = normalize_name(model.__name__)\n if model_name in conflicting_names:\n model_name = get_long_model_name(model)\n name_model_map[model_name] = model\n elif model_name in name_model_map:\n conflicting_names.add(model_name)\n conflicting_model = name_model_map.pop(model_name)\n name_model_map[get_long_model_name(conflicting_model)] = conflicting_model\n name_model_map[get_long_model_name(model)] = model\n else:\n name_model_map[model_name] = model\n return {v: k for k, v in name_model_map.items()}", "complexity": 0, "lines_of_code": 15, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_model_name_map"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_flat_models_from_model", "name": "get_flat_models_from_model", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 530, "end_line": 536, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "model", "type": "Type['BaseModel']"}, {"name": "known_models", "type": "Union[TypeModelSet, None]", "default": "None"}], "return_type": "TypeModelSet", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_flat_models_from_model(", "body_source": "def get_flat_models_from_model(\n model: Type[\"BaseModel\"], known_models: Union[TypeModelSet, None] = None\n) -> TypeModelSet:\n known_models = known_models or set()\n fields = get_model_fields(model)\n get_flat_models_from_fields(fields, known_models=known_models)\n return known_models", "complexity": 0, "lines_of_code": 6, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_flat_models_from_model"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_flat_models_from_annotation", "name": "get_flat_models_from_annotation", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 539, "end_line": 551, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "annotation", "type": "Any"}, {"name": "known_models", "type": "TypeModelSet"}], "return_type": "TypeModelSet", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_flat_models_from_annotation(", "body_source": "def get_flat_models_from_annotation(\n annotation: Any, known_models: TypeModelSet\n) -> TypeModelSet:\n origin = get_origin(annotation)\n if origin is not None:\n for arg in get_args(annotation):\n if lenient_issubclass(arg, (BaseModel, Enum)) and arg not in known_models:\n known_models.add(arg)\n if lenient_issubclass(arg, BaseModel):\n get_flat_models_from_model(arg, known_models=known_models)\n else:\n get_flat_models_from_annotation(arg, known_models=known_models)\n return known_models", "complexity": 0, "lines_of_code": 12, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_flat_models_from_annotation"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_flat_models_from_field", "name": "get_flat_models_from_field", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 554, "end_line": 567, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "field", "type": "ModelField"}, {"name": "known_models", "type": "TypeModelSet"}], "return_type": "TypeModelSet", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_flat_models_from_field(", "body_source": "def get_flat_models_from_field(\n field: ModelField, known_models: TypeModelSet\n) -> TypeModelSet:\n field_type = field.type_\n if lenient_issubclass(field_type, BaseModel):\n if field_type in known_models:\n return known_models\n known_models.add(field_type)\n get_flat_models_from_model(field_type, known_models=known_models)\n elif lenient_issubclass(field_type, Enum):\n known_models.add(field_type)\n else:\n get_flat_models_from_annotation(field_type, known_models=known_models)\n return known_models", "complexity": 0, "lines_of_code": 13, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_flat_models_from_field"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_flat_models_from_fields", "name": "get_flat_models_from_fields", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 570, "end_line": 575, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "fields", "type": "Sequence[ModelField]"}, {"name": "known_models", "type": "TypeModelSet"}], "return_type": "TypeModelSet", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_flat_models_from_fields(", "body_source": "def get_flat_models_from_fields(\n fields: Sequence[ModelField], known_models: TypeModelSet\n) -> TypeModelSet:\n for field in fields:\n get_flat_models_from_field(field, known_models=known_models)\n return known_models", "complexity": 0, "lines_of_code": 5, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_flat_models_from_fields"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py:get_long_model_name", "name": "get_long_model_name", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/test_repos/fastapi/_compat/v2.py", "start_line": 578, "end_line": 579, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "model", "type": "TypeModelOrEnum"}], "return_type": "str", "base_classes": [], "decorators": [], "docstring": "", "signature": "def get_long_model_name(model: TypeModelOrEnum) -> str:", "body_source": "def get_long_model_name(model: TypeModelOrEnum) -> str:\n return f\"{model.__module__}__{model.__qualname__}\".replace(\".\", \"__\")", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_long_model_name"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/baselines.py:NaiveLayerBaseline", "name": "NaiveLayerBaseline", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/baselines.py", "start_line": 9, "end_line": 9, "role": "DTO", "role_confidence": 65.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": [], "decorators": [], "docstring": "", "signature": "class NaiveLayerBaseline:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "unknown", "metadata": {}, "composite_purpose": "UtilityContainer", "hotspot_score": 0, "is_hotspot": false, "label": "NaiveLayerBaseline"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/baselines.py:NaiveLayerBaseline.predict", "name": "NaiveLayerBaseline.predict", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/baselines.py", "start_line": 15, "end_line": 35, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}, {"name": "file_path", "type": "str"}], "return_type": "str", "base_classes": [], "decorators": [], "docstring": "Predict layer from file path.", "signature": "def predict(self, file_path: str) -> str:", "body_source": " def predict(self, file_path: str) -> str:\n \"\"\"Predict layer from file path.\"\"\"\n path = file_path.lower()\n \n # Domain Layer\n if any(x in path for x in [\"/domain/\", \"/entities/\", \"/model/\", \"/core/\"]):\n return \"Core\" # or Domain, depending on mapping\n \n # Application Layer\n if any(x in path for x in [\"/app/\", \"/application/\", \"/usecase/\", \"/services/\", \"/service/\"]):\n return \"Application\"\n \n # Infrastructure Layer\n if any(x in path for x in [\"/infra/\", \"/infrastructure/\", \"/repo/\", \"/db/\", \"/external/\", \"/adapters/\"]):\n return \"Infrastructure\"\n \n # Interface/Presentation Layer\n if any(x in path for x in [\"/api/\", \"/web/\", \"/ui/\", \"/controller/\", \"/routes/\", \"/presentation/\"]):\n return \"Interface\"\n \n return \"Unknown\"", "complexity": 0, "lines_of_code": 20, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "predict"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/baselines.py:NaiveLayerBaseline.analyze_repo", "name": "NaiveLayerBaseline.analyze_repo", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/baselines.py", "start_line": 37, "end_line": 53, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}, {"name": "repo_path", "type": "str"}, {"name": "file_paths", "type": "List[str]"}], "return_type": "List[Dict[str, Any]]", "base_classes": [], "decorators": [], "docstring": "Mimic Spectrometer's analyze_repository output format.\nReturns a list of 'particles' (one per file).", "signature": "def analyze_repo(self, repo_path: str, file_paths: List[str]) -> List[Dict[str, Any]]:", "body_source": " def analyze_repo(self, repo_path: str, file_paths: List[str]) -> List[Dict[str, Any]]:\n \"\"\"\n Mimic Spectrometer's analyze_repository output format.\n Returns a list of 'particles' (one per file).\n \"\"\"\n particles = []\n for fp in file_paths:\n layer = self.predict(fp)\n if layer != \"Unknown\":\n particles.append({\n \"name\": fp.split(\"/\")[-1],\n \"type\": \"NaiveFile\", # Dummy type\n \"file_path\": fp,\n \"inferred_layer\": layer, # Direct prediction\n \"confidence\": 1.0\n })\n return particles", "complexity": 0, "lines_of_code": 16, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "analyze_repo"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:ComparisonMetrics", "name": "ComparisonMetrics", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 52, "end_line": 52, "role": "Utility", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": [], "decorators": ["dataclass"], "docstring": "", "signature": "class ComparisonMetrics:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "unknown", "metadata": {}, "composite_purpose": "Transformer", "hotspot_score": 0, "is_hotspot": false, "label": "ComparisonMetrics"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:ComparisonMetrics.to_dict", "name": "ComparisonMetrics.to_dict", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 81, "end_line": 109, "role": "Mapper", "role_confidence": 85.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def to_dict(self) -> Dict[str, Any]:", "body_source": " def to_dict(self) -> Dict[str, Any]:\n return {\n \"component_accuracy\": {\n \"total_symbols\": self.total_symbols,\n \"matched_symbols\": self.matched_symbols,\n \"correct_component\": self.correct_component,\n \"accuracy\": round(self.component_accuracy, 4),\n \"per_component\": self.per_component,\n },\n \"component_accuracy\": {\n \"total_symbols\": self.total_symbols,\n \"matched_symbols\": self.matched_symbols,\n \"correct_component\": self.correct_component,\n \"accuracy\": round(self.component_accuracy, 4),\n \"per_component\": self.per_component,\n },\n \"boundary_conformance\": {\n \"total_edges\": self.total_dependency_edges,\n \"violating_edges\": self.violating_edges,\n \"violation_rate\": round(self.violation_rate, 4),\n \"top_violations\": self.documented_violations[:10], # Top 10 for summary\n },\n \"coverage\": {\n \"symbols_with_oracle_label\": self.symbols_with_oracle_label,\n \"symbols_without_oracle_label\": self.symbols_without_oracle_label,\n \"coverage_rate\": round(self.coverage_rate, 4),\n },\n \"confusion_matrix\": self.confusion,\n }", "complexity": 0, "lines_of_code": 28, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "to_dict"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:load_manifest", "name": "load_manifest", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 112, "end_line": 115, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "Load the benchmark manifest.", "signature": "def load_manifest() -> Dict[str, Any]:", "body_source": "def load_manifest() -> Dict[str, Any]:\n \"\"\"Load the benchmark manifest.\"\"\"\n with open(MANIFEST_PATH) as f:\n return yaml.safe_load(f)", "complexity": 0, "lines_of_code": 3, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "load_manifest"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:load_mapping", "name": "load_mapping", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 118, "end_line": 125, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "mapping_file", "type": "str"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "Load a translation mapping file.", "signature": "def load_mapping(mapping_file: str) -> Dict[str, Any]:", "body_source": "def load_mapping(mapping_file: str) -> Dict[str, Any]:\n \"\"\"Load a translation mapping file.\"\"\"\n mapping_path = BENCH_ROOT / mapping_file\n if not mapping_path.exists():\n print(f\" Warning: Mapping file not found: {mapping_file}\")\n return {}\n with open(mapping_path) as f:\n return yaml.safe_load(f)", "complexity": 0, "lines_of_code": 7, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "load_mapping"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:clone_or_update_repo", "name": "clone_or_update_repo", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 128, "end_line": 154, "role": "Factory", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "repo_config", "type": "Dict[str, Any]"}], "return_type": "Path", "base_classes": [], "decorators": [], "docstring": "Clone the repo if needed, or verify it exists.", "signature": "def clone_or_update_repo(repo_config: Dict[str, Any]) -> Path:", "body_source": "def clone_or_update_repo(repo_config: Dict[str, Any]) -> Path:\n \"\"\"Clone the repo if needed, or verify it exists.\"\"\"\n repo_id = repo_config[\"id\"]\n repo_url = repo_config[\"url\"]\n commit = repo_config.get(\"commit\", \"master\")\n \n repo_path = REPOS_DIR / repo_id\n \n if not repo_path.exists():\n print(f\" Cloning {repo_url}...\")\n REPOS_DIR.mkdir(parents=True, exist_ok=True)\n subprocess.run(\n [\"git\", \"clone\", \"--depth\", \"50\", repo_url, str(repo_path)],\n check=True,\n capture_output=True,\n )\n \n # Checkout specific commit if not \"master\"\n if commit and commit not in (\"master\", \"main\"):\n subprocess.run(\n [\"git\", \"checkout\", commit],\n cwd=repo_path,\n check=True,\n capture_output=True,\n )\n \n return repo_path", "complexity": 0, "lines_of_code": 26, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "clone_or_update_repo"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:get_oracle", "name": "get_oracle", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 157, "end_line": 167, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "oracle_type", "type": "str"}], "return_type": "", "base_classes": [], "decorators": [], "docstring": "Get the oracle extractor for the given type.", "signature": "def get_oracle(oracle_type: str):", "body_source": "def get_oracle(oracle_type: str):\n \"\"\"Get the oracle extractor for the given type.\"\"\"\n if oracle_type == \"canonical_paths\":\n return CanonicalPathsOracle()\n elif oracle_type == \"import_linter\":\n if ImportLinterOracle:\n return ImportLinterOracle({})\n else:\n raise ImportError(\"ImportLinterOracle not available (check imports)\")\n else:\n raise ValueError(f\"Unknown oracle type: {oracle_type}\")", "complexity": 0, "lines_of_code": 10, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "get_oracle"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:extract_oracle_truth", "name": "extract_oracle_truth", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 170, "end_line": 180, "role": "Policy", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "repo_path", "type": "Path"}, {"name": "repo_config", "type": "Dict[str, Any]"}], "return_type": "OracleResult", "base_classes": [], "decorators": [], "docstring": "Extract ground truth from the oracle.", "signature": "def extract_oracle_truth(repo_path: Path, repo_config: Dict[str, Any]) -> OracleResult:", "body_source": "def extract_oracle_truth(repo_path: Path, repo_config: Dict[str, Any]) -> OracleResult:\n \"\"\"Extract ground truth from the oracle.\"\"\"\n oracle_type = repo_config[\"oracle_type\"]\n oracle = get_oracle(oracle_type)\n \n # Validate config\n errors = oracle.validate_config(repo_config)\n if errors:\n raise ValueError(f\"Invalid oracle config: {errors}\")\n \n return oracle.extract(repo_path, repo_config)", "complexity": 0, "lines_of_code": 10, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "extract_oracle_truth"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:run_spectrometer", "name": "run_spectrometer", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 183, "end_line": 192, "role": "UseCase", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "repo_path", "type": "Path"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "Run Spectrometer on the repository and return the graph.", "signature": "def run_spectrometer(repo_path: Path) -> Dict[str, Any]:", "body_source": "def run_spectrometer(repo_path: Path) -> Dict[str, Any]:\n \"\"\"Run Spectrometer on the repository and return the graph.\"\"\"\n # Check if CLI exists\n if not SPECTROMETER_CLI.exists():\n print(f\" Warning: Spectrometer CLI not found at {SPECTROMETER_CLI}\")\n print(\" Using fallback: direct import of learning_engine\")\n return run_spectrometer_direct(repo_path)\n \n # TODO: Implement CLI-based execution\n return run_spectrometer_direct(repo_path)", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "run_spectrometer"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:run_spectrometer_direct", "name": "run_spectrometer_direct", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 195, "end_line": 220, "role": "UseCase", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "repo_path", "type": "Path"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "Run Spectrometer directly via Python import.", "signature": "def run_spectrometer_direct(repo_path: Path) -> Dict[str, Any]:", "body_source": "def run_spectrometer_direct(repo_path: Path) -> Dict[str, Any]:\n \"\"\"Run Spectrometer directly via Python import.\"\"\"\n # Add core directory to path (where the modules live)\n core_path = PROJECT_ROOT / \"core\"\n if str(core_path) not in sys.path:\n sys.path.insert(0, str(core_path))\n \n try:\n from universal_detector import UniversalPatternDetector\n \n detector = UniversalPatternDetector()\n result = detector.analyze_repository(str(repo_path))\n \n # Extract particles from comprehensive_results\n comprehensive = result.get(\"comprehensive_results\", {})\n particles = comprehensive.get(\"particles\", [])\n \n return {\n \"particles\": particles,\n \"components\": {p.get(\"name\", \"\"): p for p in particles},\n \"raw_result\": result,\n }\n except ImportError as e:\n print(f\" Warning: Could not import UniversalPatternDetector: {e}\")\n print(\" Returning empty result for comparison.\")\n return {\"components\": {}, \"particles\": []}", "complexity": 0, "lines_of_code": 25, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "run_spectrometer_direct"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:run_baseline_prediction", "name": "run_baseline_prediction", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 223, "end_line": 247, "role": "UseCase", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "repo_path", "type": "Path"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "Run Naive Baseline prediction instead of Spectrometer.", "signature": "def run_baseline_prediction(repo_path: Path) -> Dict[str, Any]:", "body_source": "def run_baseline_prediction(repo_path: Path) -> Dict[str, Any]:\n \"\"\"Run Naive Baseline prediction instead of Spectrometer.\"\"\"\n import os\n \n baseline = NaiveLayerBaseline()\n \n # Walk repo to find all Python files\n all_files = []\n for root, _, files in os.walk(repo_path):\n for file in files:\n if file.endswith(\".py\"):\n # Make relative to repo root\n abs_path = os.path.join(root, file)\n rel_path = os.path.relpath(abs_path, repo_path)\n # Convert to standard format\n all_files.append(rel_path.replace(\"\\\\\", \"/\"))\n \n # Run prediction\n particles = baseline.analyze_repo(str(repo_path), all_files)\n \n return {\n \"particles\": particles,\n \"components\": {p.get(\"name\", \"\"): p for p in particles},\n \"raw_result\": {\"source\": \"NaiveLayerBaseline\"},\n }", "complexity": 0, "lines_of_code": 24, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "run_baseline_prediction"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:infer_layer_from_type", "name": "infer_layer_from_type", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 275, "end_line": 282, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "particle_type", "type": "str"}], "return_type": "str", "base_classes": [], "decorators": [], "docstring": "Infer architectural layer from Spectrometer particle type.", "signature": "def infer_layer_from_type(particle_type: str) -> str:", "body_source": "def infer_layer_from_type(particle_type: str) -> str:\n \"\"\"Infer architectural layer from Spectrometer particle type.\"\"\"\n if particle_type == \"NaiveFile\":\n # Baseline implementation handles layer inference and puts it in inferred_layer field\n # So we shouldn't be calling this for baseline particles usually, \n # but compare_predictions will need adjustment if it calls this unconditionally.\n return \"Unknown\"\n return TYPE_TO_LAYER.get(particle_type, \"Unknown\")", "complexity": 0, "lines_of_code": 7, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "infer_layer_from_type"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:translate_oracle_to_spectrometer", "name": "translate_oracle_to_spectrometer", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 285, "end_line": 291, "role": "Policy", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "oracle_component", "type": "str"}, {"name": "mapping", "type": "Dict[str, Any]"}], "return_type": "str", "base_classes": [], "decorators": [], "docstring": "Translate oracle component name to Spectrometer Layer.", "signature": "def translate_oracle_to_spectrometer(", "body_source": "def translate_oracle_to_spectrometer(\n oracle_component: str, \n mapping: Dict[str, Any]\n) -> str:\n \"\"\"Translate oracle component name to Spectrometer Layer.\"\"\"\n layer_map = mapping.get(\"oracle_to_layer\", {})\n return layer_map.get(oracle_component, oracle_component)", "complexity": 0, "lines_of_code": 6, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "translate_oracle_to_spectrometer"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:normalize_file_path", "name": "normalize_file_path", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 294, "end_line": 327, "role": "Query", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [{"name": "file_path", "type": "str"}, {"name": "repo_path", "type": "Path"}], "return_type": "str", "base_classes": [], "decorators": [], "docstring": "Normalize a file path to be relative to repo_path.\n\nHandles:\n- Absolute paths\n- Paths relative to cwd that include repo path\n- Already-relative paths", "signature": "def normalize_file_path(file_path: str, repo_path: Path) -> str:", "body_source": "def normalize_file_path(file_path: str, repo_path: Path) -> str:\n \"\"\"\n Normalize a file path to be relative to repo_path.\n \n Handles:\n - Absolute paths\n - Paths relative to cwd that include repo path\n - Already-relative paths\n \"\"\"\n if not file_path:\n return \"\"\n \n # Normalize slashes\n file_path = file_path.replace(\"\\\\\", \"/\")\n repo_str = str(repo_path.resolve()).replace(\"\\\\\", \"/\")\n \n # If it's an absolute path containing repo dir, make it relative\n if repo_str in file_path:\n idx = file_path.find(repo_str)\n relative = file_path[idx + len(repo_str):]\n return relative.lstrip(\"/\")\n \n # If path starts with repo name (as directory), strip it\n repo_name = repo_path.name\n if file_path.startswith(repo_name + \"/\"):\n return file_path[len(repo_name) + 1:]\n \n # Check if path is relative but includes path components leading to repo\n parts = file_path.split(\"/\")\n for i, part in enumerate(parts):\n if part == repo_name and i < len(parts) - 1:\n return \"/\".join(parts[i + 1:])\n \n return file_path", "complexity": 0, "lines_of_code": 33, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "normalize_file_path"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:compare_predictions", "name": "compare_predictions", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 330, "end_line": 510, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "oracle_result", "type": "OracleResult"}, {"name": "spectrometer_result", "type": "Dict[str, Any]"}, {"name": "mapping", "type": "Dict[str, Any]"}, {"name": "repo_path", "type": "Path"}], "return_type": "ComparisonMetrics", "base_classes": [], "decorators": [], "docstring": "Compare Spectrometer predictions against oracle ground truth.\n\nFor each symbol Spectrometer finds:\n1. Get its file path\n2. Look up oracle component for that file\n3. Translate oracle component -> expected Spectrometer label\n4. Compare expected vs actual", "signature": "def compare_predictions(", "body_source": "def compare_predictions(\n oracle_result: OracleResult,\n spectrometer_result: Dict[str, Any],\n mapping: Dict[str, Any],\n repo_path: Path,\n) -> ComparisonMetrics:\n \"\"\"\n Compare Spectrometer predictions against oracle ground truth.\n \n For each symbol Spectrometer finds:\n 1. Get its file path\n 2. Look up oracle component for that file\n 3. Translate oracle component -> expected Spectrometer label\n 4. Compare expected vs actual\n \"\"\"\n metrics = ComparisonMetrics()\n \n # Get predicted particles/components\n particles = spectrometer_result.get(\"particles\", [])\n if not particles:\n particles = list(spectrometer_result.get(\"components\", {}).values())\n \n # Counters for precision/recall calculation\n oracle_counts: Counter[str] = Counter()\n predicted_counts: Counter[str] = Counter()\n correct_counts: Counter[str] = Counter()\n \n # Confusion matrix\n confusion: Dict[str, Dict[str, int]] = {}\n \n # Debug: collect unmatched paths\n unmatched_paths: List[str] = []\n \n for particle in particles:\n metrics.total_symbols += 1\n \n # Get file path and normalize to repo-relative\n file_path_raw = particle.get(\"file_path\", \"\")\n if not file_path_raw:\n continue\n \n file_path = normalize_file_path(file_path_raw, repo_path)\n \n # Try to match against oracle membership\n oracle_component = oracle_result.membership.get_component(file_path)\n \n if oracle_component:\n metrics.symbols_with_oracle_label += 1\n \n # Translate oracle component to expected Spectrometer label\n expected_label = translate_oracle_to_spectrometer(oracle_component, mapping)\n \n # Get Spectrometer's prediction\n # Since Spectrometer outputs 'type' (e.g., Entity, Command), we need to\n # infer the layer to compare against oracle's layer ground truth\n particle_type = (\n particle.get(\"type\") or \n particle.get(\"particle_type\") or\n \"Unknown\"\n )\n \n # Convert type to layer for fair comparison\n predicted_label = infer_layer_from_type(particle_type)\n \n oracle_counts[expected_label] += 1\n predicted_counts[predicted_label] += 1\n metrics.matched_symbols += 1\n \n if predicted_label == expected_label:\n metrics.correct_component += 1\n correct_counts[expected_label] += 1\n \n # Update confusion matrix\n if expected_label not in confusion:\n confusion[expected_label] = {}\n if predicted_label not in confusion[expected_label]:\n confusion[expected_label][predicted_label] = 0\n confusion[expected_label][predicted_label] += 1\n else:\n metrics.symbols_without_oracle_label += 1\n if len(unmatched_paths) < 5: # Collect first few for debugging\n unmatched_paths.append(file_path)\n \n # Debug output if no matches found\n if metrics.symbols_with_oracle_label == 0 and particles:\n print(f\" DEBUG: No oracle matches found!\")\n print(f\" Sample spectrometer paths: {unmatched_paths[:3]}\")\n oracle_sample = list(oracle_result.membership.file_to_component.keys())[:3]\n print(f\" Sample oracle paths: {oracle_sample}\")\n \n # Calculate accuracy\n if metrics.matched_symbols > 0:\n metrics.component_accuracy = metrics.correct_component / metrics.matched_symbols\n \n # Calculate coverage\n if metrics.total_symbols > 0:\n metrics.coverage_rate = metrics.symbols_with_oracle_label / metrics.total_symbols\n \n # Calculate per-component precision/recall\n all_labels = set(oracle_counts.keys()) | set(predicted_counts.keys())\n for label in all_labels:\n oracle_count = oracle_counts.get(label, 0)\n predicted_count = predicted_counts.get(label, 0)\n correct_count = correct_counts.get(label, 0)\n \n precision = correct_count / predicted_count if predicted_count > 0 else 0.0\n recall = correct_count / oracle_count if oracle_count > 0 else 0.0\n f1 = 2 * precision * recall / (precision + recall) if (precision + recall) > 0 else 0.0\n \n metrics.per_component[label] = {\n \"oracle_count\": oracle_count,\n \"predicted_count\": predicted_count,\n \"correct_count\": correct_count,\n \"precision\": round(precision, 4),\n \"recall\": round(recall, 4),\n \"f1\": round(f1, 4),\n }\n \n metrics.confusion = confusion\n \n # ---------------------------------------------------------\n # Score 2: Boundary/Constraint Violations\n # ---------------------------------------------------------\n oracle_constraints = oracle_result.constraints\n \n # Extract internal edges (file-to-file dependencies)\n comprehensive = spectrometer_result.get(\"raw_result\", {}).get(\"comprehensive_results\", {})\n dependencies = comprehensive.get(\"dependencies\", {})\n raw_edges = dependencies.get(\"internal_edges\", [])\n\n violation_count = 0\n total_edges = 0\n detected_violations = []\n\n # Map file path -> component for fast lookup\n file_to_comp = oracle_result.membership.file_to_component\n\n for edge in raw_edges:\n src_file = edge.get(\"from\")\n tgt_file = edge.get(\"to\")\n \n if not src_file or not tgt_file:\n continue\n \n # Normalize paths (they should already be relative from dependency_analyzer, but good to be safe)\n src_rel = normalize_file_path(src_file, repo_path)\n tgt_rel = normalize_file_path(tgt_file, repo_path)\n \n # Get components\n src_comp = file_to_comp.get(src_rel)\n tgt_comp = file_to_comp.get(tgt_rel)\n \n # Only check cross-component edges where both sides are known\n if src_comp and tgt_comp and src_comp != tgt_comp:\n total_edges += 1\n is_allowed = oracle_constraints.is_allowed(src_comp, tgt_comp)\n \n # If explicit forbid OR (allowed list exists AND not allowed)\n violation = False\n if oracle_constraints.forbidden and (src_comp, tgt_comp) in oracle_constraints.forbidden:\n violation = True\n elif oracle_constraints.allowed and (src_comp, tgt_comp) not in oracle_constraints.allowed:\n # Implicit denial if allow-list is present\n violation = True\n \n if violation:\n violation_count += 1\n detected_violations.append({\n \"from\": src_comp,\n \"to\": tgt_comp,\n \"from_file\": src_rel,\n \"to_file\": tgt_rel,\n \"count\": edge.get(\"count\", 1)\n })\n\n metrics.total_dependency_edges = total_edges\n metrics.violating_edges = violation_count\n metrics.violation_rate = violation_count / total_edges if total_edges > 0 else 0.0\n metrics.documented_violations = detected_violations\n\n return metrics", "complexity": 0, "lines_of_code": 180, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "compare_predictions"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:run_single_benchmark", "name": "run_single_benchmark", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 513, "end_line": 591, "role": "UseCase", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "repo_config", "type": "Dict[str, Any]"}, {"name": "extract_only", "type": "bool", "default": "False"}, {"name": "use_baseline", "type": "bool", "default": "False"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "Run benchmark for a single repository.", "signature": "def run_single_benchmark(repo_config: Dict[str, Any], extract_only: bool = False, use_baseline: bool = False) -> Dict[str, Any]:", "body_source": "def run_single_benchmark(repo_config: Dict[str, Any], extract_only: bool = False, use_baseline: bool = False) -> Dict[str, Any]:\n \"\"\"Run benchmark for a single repository.\"\"\"\n repo_id = repo_config[\"id\"]\n print(f\"\\n{'='*60}\")\n print(f\"Benchmark: {repo_config.get('name', repo_id)} {'(BASELINE)' if use_baseline else ''}\")\n print(f\"{'='*60}\")\n \n # 1. Clone/update repo\n print(\"1. Setting up repository...\")\n try:\n repo_path = clone_or_update_repo(repo_config)\n print(f\" Repo path: {repo_path}\")\n except Exception as e:\n print(f\" ERROR cloning repo: {e}\")\n return {\"error\": str(e), \"repo_id\": repo_id}\n \n # 2. Extract Oracle Truth\n print(\"2. Extracting oracle ground truth...\")\n try:\n oracle_result = extract_oracle_truth(repo_path, repo_config)\n summary = oracle_result.summary()\n print(f\" Source: {summary['oracle_source']}\")\n print(f\" Found {summary['total_files']} files with components\")\n if summary['warnings']:\n print(f\" Warnings: {summary['warnings']}\")\n except Exception as e:\n print(f\" ERROR extracting oracle: {e}\")\n return {\"error\": str(e), \"repo_id\": repo_id}\n \n if extract_only:\n return {\n \"repo_id\": repo_id,\n \"oracle_summary\": oracle_result.summary(),\n \"status\": \"extracted_only\"\n }\n \n # 3. Load translation mapping\n print(\"3. Loading translation mapping...\")\n mapping_file = repo_config.get(\"mapping_file\", \"\")\n mapping = load_mapping(mapping_file) if mapping_file else {}\n print(f\" Mapping: {mapping.get('name', 'none')}\")\n \n # 4. Run Prediction (Spectrometer or Baseline)\n tool_name = \"Naive Baseline\" if use_baseline else \"Spectrometer\"\n print(f\"4. Running {tool_name} analysis...\")\n try:\n if use_baseline:\n spectrometer_result = run_baseline_prediction(repo_path)\n else:\n spectrometer_result = run_spectrometer(repo_path)\n \n comp_count = len(spectrometer_result.get(\"components\", {}))\n part_count = len(spectrometer_result.get(\"particles\", []))\n print(f\" Found {part_count} particles\")\n except Exception as e:\n print(f\" ERROR running {tool_name}: {e}\")\n return {\"error\": str(e), \"repo_id\": repo_id}\n \n # 5. Compare Predictions\n print(\"5. Comparing predictions vs oracle...\")\n metrics = compare_predictions(oracle_result, spectrometer_result, mapping, repo_path)\n \n print(f\" Component accuracy: {metrics.component_accuracy:.1%}\")\n print(f\" Boundary violations: {metrics.violating_edges}/{metrics.total_dependency_edges} edges ({metrics.violation_rate:.1%})\")\n print(f\" Coverage rate: {metrics.coverage_rate:.1%}\")\n print(f\" Matched/Total: {metrics.matched_symbols}/{metrics.total_symbols}\")\n \n # 6. Generate report\n report = {\n \"repo_id\": repo_id,\n \"repo_name\": repo_config.get(\"name\", repo_id),\n \"oracle_type\": repo_config[\"oracle_type\"],\n \"tool\": \"naive_baseline\" if use_baseline else \"spectrometer_v1\",\n \"validated_source\": repo_config.get(\"validated_source\", \"\"),\n \"oracle_summary\": oracle_result.summary(),\n \"metrics\": metrics.to_dict(),\n }\n \n return report", "complexity": 0, "lines_of_code": 78, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "run_single_benchmark"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:save_report", "name": "save_report", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 594, "end_line": 600, "role": "Command", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "report", "type": "Dict[str, Any]"}, {"name": "repo_id", "type": "str"}], "return_type": "Path", "base_classes": [], "decorators": [], "docstring": "Save report to JSON file.", "signature": "def save_report(report: Dict[str, Any], repo_id: str) -> Path:", "body_source": "def save_report(report: Dict[str, Any], repo_id: str) -> Path:\n \"\"\"Save report to JSON file.\"\"\"\n REPORTS_DIR.mkdir(parents=True, exist_ok=True)\n report_path = REPORTS_DIR / f\"{repo_id}_report.json\"\n with open(report_path, \"w\") as f:\n json.dump(report, f, indent=2)\n return report_path", "complexity": 0, "lines_of_code": 6, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "save_report"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:print_summary", "name": "print_summary", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 603, "end_line": 621, "role": "Utility", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "reports", "type": "List[Dict[str, Any]]"}], "return_type": "None", "base_classes": [], "decorators": [], "docstring": "Print summary of all benchmark results.", "signature": "def print_summary(reports: List[Dict[str, Any]]) -> None:", "body_source": "def print_summary(reports: List[Dict[str, Any]]) -> None:\n \"\"\"Print summary of all benchmark results.\"\"\"\n print(\"\\n\" + \"=\"*70)\n print(\"ORACLE BENCHMARK SUMMARY\")\n print(\"=\"*70)\n \n for report in reports:\n if \"error\" in report:\n print(f\" \u274c {report['repo_id']}: ERROR - {report['error']}\")\n continue\n \n metrics = report.get(\"metrics\", {})\n accuracy = metrics.get(\"component_accuracy\", {}).get(\"accuracy\", 0)\n coverage = metrics.get(\"coverage\", {}).get(\"coverage_rate\", 0)\n \n status = \"\u2705\" if accuracy >= 0.8 else \"\u26a0\ufe0f\" if accuracy >= 0.5 else \"\u274c\"\n print(f\" {status} {report['repo_id']}: accuracy={accuracy:.1%} coverage={coverage:.1%}\")\n \n print(\"=\"*70)", "complexity": 0, "lines_of_code": 18, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "print_summary"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py:main", "name": "main", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/run_oracle_bench.py", "start_line": 624, "end_line": 662, "role": "Controller", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": [], "decorators": [], "docstring": "", "signature": "def main():", "body_source": "def main():\n parser = argparse.ArgumentParser(description=\"Run Oracle Benchmark Suite\")\n parser.add_argument(\"--repo\", help=\"Run single repo by ID\")\n parser.add_argument(\"--extract-only\", action=\"store_true\", help=\"Only extract oracle truth\")\n parser.add_argument(\"--baseline\", action=\"store_true\", help=\"Run Naive Baseline providing naive comparison\")\n parser.add_argument(\"--list\", action=\"store_true\", help=\"List available repos\")\n args = parser.parse_args()\n \n # Load manifest\n manifest = load_manifest()\n repos = manifest.get(\"repos\", [])\n \n if args.list:\n print(\"Available benchmark repos:\")\n for repo in repos:\n print(f\" - {repo['id']}: {repo.get('name', 'Unknown')} ({repo['oracle_type']})\")\n return\n \n # Filter to single repo if specified\n if args.repo:\n repos = [r for r in repos if r[\"id\"] == args.repo]\n if not repos:\n print(f\"Error: Repo '{args.repo}' not found in manifest\")\n return\n \n # Run benchmarks\n reports = []\n for repo_config in repos:\n report = run_single_benchmark(repo_config, extract_only=args.extract_only, use_baseline=args.baseline)\n reports.append(report)\n \n # Save individual report\n if \"error\" not in report:\n prefix = \"baseline\" if args.baseline else \"spectrometer\"\n report_path = save_report(report, f\"{prefix}_{repo_config['id']}\")\n print(f\" Report saved: {report_path}\")\n \n # Print summary\n print_summary(reports)", "complexity": 0, "lines_of_code": 38, "in_degree": 0, "out_degree": 0, "layer": "presentation", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "main"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py:CanonicalPathsOracle", "name": "CanonicalPathsOracle", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py", "start_line": 53, "end_line": 53, "role": "Query", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": ["OracleExtractor"], "decorators": [], "docstring": "", "signature": "class CanonicalPathsOracle(OracleExtractor):", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "unknown", "metadata": {}, "composite_purpose": "PolicyContainer", "hotspot_score": 0, "is_hotspot": false, "label": "CanonicalPathsOracle"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py:CanonicalPathsOracle.oracle_type", "name": "CanonicalPathsOracle.oracle_type", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py", "start_line": 62, "end_line": 63, "role": "Policy", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "str", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def oracle_type(self) -> str:", "body_source": " def oracle_type(self) -> str:\n return \"canonical_paths\"", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "oracle_type"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py:CanonicalPathsOracle.validate_config", "name": "CanonicalPathsOracle.validate_config", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py", "start_line": 65, "end_line": 74, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "config", "type": "Dict[str, Any]"}], "return_type": "List[str]", "base_classes": [], "decorators": [], "docstring": "", "signature": "def validate_config(self, config: Dict[str, Any]) -> List[str]:", "body_source": " def validate_config(self, config: Dict[str, Any]) -> List[str]:\n errors = []\n oracle_config = config.get(\"oracle_config\", {})\n \n if \"layers\" not in oracle_config:\n errors.append(\"oracle_config.layers is required for canonical_paths oracle\")\n elif not isinstance(oracle_config[\"layers\"], dict):\n errors.append(\"oracle_config.layers must be a dict of layer_name -> [glob_patterns]\")\n \n return errors", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "validate_config"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py:CanonicalPathsOracle.extract", "name": "CanonicalPathsOracle.extract", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py", "start_line": 76, "end_line": 140, "role": "Service", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}, {"name": "repo_root", "type": "Path"}, {"name": "config", "type": "Dict[str, Any]"}], "return_type": "OracleResult", "base_classes": [], "decorators": [], "docstring": "Extract component membership from canonical paths.\n\nFor each layer defined in config, glob the patterns and assign\nmatching files to that layer.", "signature": "def extract(self, repo_root: Path, config: Dict[str, Any]) -> OracleResult:", "body_source": " def extract(self, repo_root: Path, config: Dict[str, Any]) -> OracleResult:\n \"\"\"\n Extract component membership from canonical paths.\n \n For each layer defined in config, glob the patterns and assign\n matching files to that layer.\n \"\"\"\n oracle_config = config.get(\"oracle_config\", {})\n layers_config = oracle_config.get(\"layers\", {})\n \n membership = ComponentMembership()\n warnings: List[str] = []\n \n # Track which patterns matched nothing (potential config errors)\n empty_patterns: List[str] = []\n \n for layer_name, patterns in layers_config.items():\n if not isinstance(patterns, list):\n patterns = [patterns]\n \n layer_files = set()\n for pattern in patterns:\n # Glob the pattern\n matched = list(repo_root.glob(pattern))\n for path in matched:\n if path.is_file() and path.suffix == \".py\":\n rel_path = str(path.relative_to(repo_root))\n # Normalize to forward slashes\n rel_path = rel_path.replace(\"\\\\\", \"/\")\n layer_files.add(rel_path)\n \n if not matched:\n empty_patterns.append(f\"{layer_name}:{pattern}\")\n \n # Add all files to membership\n for rel_path in layer_files:\n membership.add_file(rel_path, layer_name)\n \n if empty_patterns:\n warnings.append(f\"Empty patterns (no matches): {empty_patterns}\")\n \n # Build dependency constraints based on layer architecture\n constraints = self._build_constraints(\n layers_config.keys(),\n oracle_config.get(\"allowed_deps\"),\n oracle_config.get(\"forbidden_deps\"),\n )\n \n # Build oracle source description\n layer_summary = \", \".join(f\"{k}:{len(v) if isinstance(v, list) else 1} patterns\" \n for k, v in layers_config.items())\n oracle_source = f\"canonical_paths:[{layer_summary}]\"\n \n validation_note = config.get(\n \"validated_source\", \n \"Canonical directory structure matching documented architecture\"\n )\n \n return OracleResult(\n membership=membership,\n constraints=constraints,\n oracle_source=oracle_source,\n validation_note=validation_note,\n warnings=warnings,\n )", "complexity": 0, "lines_of_code": 64, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "extract"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py:CanonicalPathsOracle._build_constraints", "name": "CanonicalPathsOracle._build_constraints", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py", "start_line": 142, "end_line": 183, "role": "Factory", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "layer_names", "type": "List[str]"}, {"name": "custom_allowed", "type": "List[List[str]] | None"}, {"name": "custom_forbidden", "type": "List[List[str]] | None"}], "return_type": "DependencyConstraints", "base_classes": [], "decorators": [], "docstring": "Build dependency constraints for the given layers.\n\nUses custom rules if provided, otherwise falls back to defaults\nfor known layer names.", "signature": "def _build_constraints(", "body_source": " def _build_constraints(\n self,\n layer_names: List[str],\n custom_allowed: List[List[str]] | None,\n custom_forbidden: List[List[str]] | None,\n ) -> DependencyConstraints:\n \"\"\"\n Build dependency constraints for the given layers.\n \n Uses custom rules if provided, otherwise falls back to defaults\n for known layer names.\n \"\"\"\n constraints = DependencyConstraints()\n \n # Normalize layer names for matching\n normalized_layers = {layer.lower(): layer for layer in layer_names}\n \n if custom_allowed:\n for dep in custom_allowed:\n if len(dep) == 2:\n constraints.add_allowed(dep[0], dep[1])\n else:\n # Use defaults for recognized layer names\n for from_layer, to_layer in DEFAULT_ALLOWED_DEPS:\n actual_from = normalized_layers.get(from_layer)\n actual_to = normalized_layers.get(to_layer)\n if actual_from and actual_to:\n constraints.add_allowed(actual_from, actual_to)\n \n if custom_forbidden:\n for dep in custom_forbidden:\n if len(dep) == 2:\n constraints.add_forbidden(dep[0], dep[1])\n else:\n # Use defaults for recognized layer names\n for from_layer, to_layer in DEFAULT_FORBIDDEN_DEPS:\n actual_from = normalized_layers.get(from_layer)\n actual_to = normalized_layers.get(to_layer)\n if actual_from and actual_to:\n constraints.add_forbidden(actual_from, actual_to)\n \n return constraints", "complexity": 0, "lines_of_code": 41, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "_build_constraints"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py:_test_canonical_paths", "name": "_test_canonical_paths", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/canonical_paths.py", "start_line": 186, "end_line": 221, "role": "Test", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "", "base_classes": [], "decorators": [], "docstring": "Quick self-test.", "signature": "def _test_canonical_paths():", "body_source": "def _test_canonical_paths():\n \"\"\"Quick self-test.\"\"\"\n import tempfile\n \n # Create a temp repo structure\n with tempfile.TemporaryDirectory() as tmpdir:\n repo = Path(tmpdir)\n \n # Create some files\n (repo / \"src\" / \"domain\" / \"model.py\").parent.mkdir(parents=True)\n (repo / \"src\" / \"domain\" / \"model.py\").write_text(\"# domain model\")\n (repo / \"src\" / \"domain\" / \"entities.py\").write_text(\"# entities\")\n \n (repo / \"src\" / \"application\" / \"services.py\").parent.mkdir(parents=True)\n (repo / \"src\" / \"application\" / \"services.py\").write_text(\"# services\")\n \n config = {\n \"oracle_config\": {\n \"layers\": {\n \"domain\": [\"src/domain/**/*.py\"],\n \"application\": [\"src/application/**/*.py\"],\n }\n },\n \"validated_source\": \"Test canonical structure\",\n }\n \n oracle = CanonicalPathsOracle()\n result = oracle.extract(repo, config)\n \n print(f\"Oracle source: {result.oracle_source}\")\n print(f\"Total files: {result.membership.total_files}\")\n print(f\"Components: {result.membership.components}\")\n print(f\"File mappings: {result.membership.file_to_component}\")\n print(f\"Allowed deps: {result.constraints.allowed}\")\n print(f\"Forbidden deps: {result.constraints.forbidden}\")\n print(f\"Summary: {result.summary()}\")", "complexity": 0, "lines_of_code": 35, "in_degree": 0, "out_degree": 0, "layer": "testing", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_test_canonical_paths"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:LayerContract", "name": "LayerContract", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 39, "end_line": 39, "role": "DTO", "role_confidence": 65.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": [], "decorators": ["dataclass"], "docstring": "", "signature": "class LayerContract:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": "DataAccess", "hotspot_score": 0, "is_hotspot": false, "label": "LayerContract"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:LayerContract.get_allowed_deps", "name": "LayerContract.get_allowed_deps", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 44, "end_line": 50, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}], "return_type": "List[Tuple[str, str]]", "base_classes": [], "decorators": [], "docstring": "Get allowed dependency pairs (from_layer, to_layer).", "signature": "def get_allowed_deps(self) -> List[Tuple[str, str]]:", "body_source": " def get_allowed_deps(self) -> List[Tuple[str, str]]:\n \"\"\"Get allowed dependency pairs (from_layer, to_layer).\"\"\"\n allowed = []\n for i, high_layer in enumerate(self.layers):\n for low_layer in self.layers[i+1:]:\n allowed.append((high_layer, low_layer))\n return allowed", "complexity": 0, "lines_of_code": 6, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "get_allowed_deps"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:LayerContract.get_forbidden_deps", "name": "LayerContract.get_forbidden_deps", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 52, "end_line": 58, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}], "return_type": "List[Tuple[str, str]]", "base_classes": [], "decorators": [], "docstring": "Get forbidden dependency pairs (from_layer, to_layer).", "signature": "def get_forbidden_deps(self) -> List[Tuple[str, str]]:", "body_source": " def get_forbidden_deps(self) -> List[Tuple[str, str]]:\n \"\"\"Get forbidden dependency pairs (from_layer, to_layer).\"\"\"\n forbidden = []\n for i, low_layer in enumerate(self.layers):\n for high_layer in self.layers[:i]:\n forbidden.append((low_layer, high_layer))\n return forbidden", "complexity": 0, "lines_of_code": 6, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "get_forbidden_deps"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:IndependenceContract", "name": "IndependenceContract", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 62, "end_line": 62, "role": "DTO", "role_confidence": 65.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": [], "decorators": ["dataclass"], "docstring": "", "signature": "class IndependenceContract:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": "DataAccess", "hotspot_score": 0, "is_hotspot": false, "label": "IndependenceContract"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:IndependenceContract.get_forbidden_deps", "name": "IndependenceContract.get_forbidden_deps", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 67, "end_line": 74, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}], "return_type": "List[Tuple[str, str]]", "base_classes": [], "decorators": [], "docstring": "Get forbidden dependency pairs (bidirectional).", "signature": "def get_forbidden_deps(self) -> List[Tuple[str, str]]:", "body_source": " def get_forbidden_deps(self) -> List[Tuple[str, str]]:\n \"\"\"Get forbidden dependency pairs (bidirectional).\"\"\"\n forbidden = []\n for i, mod1 in enumerate(self.modules):\n for mod2 in self.modules[i+1:]:\n forbidden.append((mod1, mod2))\n forbidden.append((mod2, mod1))\n return forbidden", "complexity": 0, "lines_of_code": 7, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "get_forbidden_deps"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ForbiddenContract", "name": "ForbiddenContract", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 78, "end_line": 78, "role": "DTO", "role_confidence": 65.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": [], "decorators": ["dataclass"], "docstring": "", "signature": "class ForbiddenContract:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": "DataAccess", "hotspot_score": 0, "is_hotspot": false, "label": "ForbiddenContract"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ForbiddenContract.get_forbidden_deps", "name": "ForbiddenContract.get_forbidden_deps", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 84, "end_line": 90, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}], "return_type": "List[Tuple[str, str]]", "base_classes": [], "decorators": [], "docstring": "Get forbidden dependency pairs (one-way).", "signature": "def get_forbidden_deps(self) -> List[Tuple[str, str]]:", "body_source": " def get_forbidden_deps(self) -> List[Tuple[str, str]]:\n \"\"\"Get forbidden dependency pairs (one-way).\"\"\"\n return [\n (src, forb)\n for src in self.source_modules\n for forb in self.forbidden_modules\n ]", "complexity": 0, "lines_of_code": 6, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "get_forbidden_deps"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ImportLinterOracle", "name": "ImportLinterOracle", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 93, "end_line": 93, "role": "Policy", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": ["OracleExtractor"], "decorators": [], "docstring": "", "signature": "class ImportLinterOracle(OracleExtractor):", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "unknown", "metadata": {}, "composite_purpose": "UtilityContainer", "hotspot_score": 0, "is_hotspot": false, "label": "ImportLinterOracle"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ImportLinterOracle.__init__", "name": "ImportLinterOracle.__init__", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 107, "end_line": 110, "role": "ApplicationService", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "config", "type": "Dict[str, Any]"}], "return_type": "", "base_classes": [], "decorators": [], "docstring": "", "signature": "def __init__(self, config: Dict[str, Any]):", "body_source": " def __init__(self, config: Dict[str, Any]):\n self.config = config\n self.root_packages: List[str] = []\n self.contracts: List[Any] = [] # LayerContract | IndependenceContract | ForbiddenContract", "complexity": 0, "lines_of_code": 3, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "__init__"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ImportLinterOracle.oracle_type", "name": "ImportLinterOracle.oracle_type", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 113, "end_line": 114, "role": "Policy", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "str", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def oracle_type(self) -> str:", "body_source": " def oracle_type(self) -> str:\n return \"import_linter\"", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "oracle_type"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ImportLinterOracle.extract", "name": "ImportLinterOracle.extract", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 116, "end_line": 148, "role": "Service", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}, {"name": "repo_root", "type": "Path"}, {"name": "config", "type": "Dict[str, Any]"}], "return_type": "OracleResult", "base_classes": [], "decorators": [], "docstring": "Extract architectural constraints from import-linter config.", "signature": "def extract(self, repo_root: Path, config: Dict[str, Any]) -> OracleResult:", "body_source": " def extract(self, repo_root: Path, config: Dict[str, Any]) -> OracleResult:\n \"\"\"Extract architectural constraints from import-linter config.\"\"\"\n # Update config with any passed overrides\n self.config.update(config)\n \n # Find config file\n config_path = self._find_config(repo_root)\n if config_path is None:\n return OracleResult(\n membership=ComponentMembership(),\n constraints=DependencyConstraints(),\n oracle_source=\"import_linter\",\n validation_note=\"No config found\",\n warnings=[\"No import-linter config found (.importlinter or pyproject.toml)\"],\n )\n \n # Parse config\n if config_path.suffix == \".toml\":\n contracts_data = self._parse_pyproject(config_path)\n else:\n contracts_data = self._parse_importlinter(config_path)\n \n if not contracts_data:\n return OracleResult(\n membership=ComponentMembership(),\n constraints=DependencyConstraints(),\n oracle_source=\"import_linter\",\n validation_note=\"Config parse failed\",\n warnings=[f\"Could not parse import-linter config: {config_path}\"],\n )\n \n # Convert to our format\n return self._convert_to_oracle_result(repo_root, contracts_data, config_path.name)", "complexity": 0, "lines_of_code": 32, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "extract"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ImportLinterOracle._find_config", "name": "ImportLinterOracle._find_config", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 150, "end_line": 170, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "repo_path", "type": "Path"}], "return_type": "Optional[Path]", "base_classes": [], "decorators": [], "docstring": "Find import-linter config file.", "signature": "def _find_config(self, repo_path: Path) -> Optional[Path]:", "body_source": " def _find_config(self, repo_path: Path) -> Optional[Path]:\n \"\"\"Find import-linter config file.\"\"\"\n # Check .importlinter first\n importlinter = repo_path / \".importlinter\"\n if importlinter.exists():\n return importlinter\n \n # Check pyproject.toml\n pyproject = repo_path / \"pyproject.toml\"\n if pyproject.exists():\n # Check if it has import-linter section\n try:\n if tomllib:\n with open(pyproject, \"rb\") as f:\n data = tomllib.load(f)\n if \"tool\" in data and \"import-linter\" in data.get(\"tool\", {}):\n return pyproject\n except Exception:\n pass\n \n return None", "complexity": 0, "lines_of_code": 20, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "_find_config"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ImportLinterOracle._parse_importlinter", "name": "ImportLinterOracle._parse_importlinter", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 172, "end_line": 240, "role": "Utility", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "config_path", "type": "Path"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "Parse .importlinter INI-style config.", "signature": "def _parse_importlinter(self, config_path: Path) -> Dict[str, Any]:", "body_source": " def _parse_importlinter(self, config_path: Path) -> Dict[str, Any]:\n \"\"\"Parse .importlinter INI-style config.\"\"\"\n try:\n parser = configparser.ConfigParser()\n parser.read(config_path)\n \n result = {\n \"root_packages\": [],\n \"contracts\": [],\n }\n \n # Get root package(s)\n if \"importlinter\" in parser:\n main = parser[\"importlinter\"]\n if \"root_packages\" in main:\n result[\"root_packages\"] = [\n p.strip() for p in main[\"root_packages\"].split(\"\\n\") if p.strip()\n ]\n elif \"root_package\" in main:\n result[\"root_packages\"] = [main[\"root_package\"]]\n \n # Parse contracts\n for section in parser.sections():\n if section.startswith(\"importlinter:contract:\"):\n contract_data = dict(parser[section])\n contract_type = contract_data.get(\"type\", \"\")\n contract_name = contract_data.get(\"name\", section)\n \n if contract_type == \"layers\":\n layers = [\n l.strip() for l in contract_data.get(\"layers\", \"\").split(\"\\n\")\n if l.strip()\n ]\n result[\"contracts\"].append({\n \"type\": \"layers\",\n \"name\": contract_name,\n \"layers\": layers,\n })\n elif contract_type == \"independence\":\n modules = [\n m.strip() for m in contract_data.get(\"modules\", \"\").split(\"\\n\")\n if m.strip()\n ]\n result[\"contracts\"].append({\n \"type\": \"independence\",\n \"name\": contract_name,\n \"modules\": modules,\n })\n elif contract_type == \"forbidden\":\n source = [\n m.strip() for m in contract_data.get(\"source_modules\", \"\").split(\"\\n\")\n if m.strip()\n ]\n forbidden = [\n m.strip() for m in contract_data.get(\"forbidden_modules\", \"\").split(\"\\n\")\n if m.strip()\n ]\n result[\"contracts\"].append({\n \"type\": \"forbidden\",\n \"name\": contract_name,\n \"source_modules\": source,\n \"forbidden_modules\": forbidden,\n })\n \n return result\n \n except Exception as e:\n print(f\"Error parsing .importlinter: {e}\")\n return {}", "complexity": 0, "lines_of_code": 68, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "_parse_importlinter"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ImportLinterOracle._parse_pyproject", "name": "ImportLinterOracle._parse_pyproject", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 242, "end_line": 296, "role": "Utility", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "pyproject_path", "type": "Path"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "Parse pyproject.toml [tool.import-linter] section.", "signature": "def _parse_pyproject(self, pyproject_path: Path) -> Dict[str, Any]:", "body_source": " def _parse_pyproject(self, pyproject_path: Path) -> Dict[str, Any]:\n \"\"\"Parse pyproject.toml [tool.import-linter] section.\"\"\"\n if not tomllib:\n return {}\n \n try:\n with open(pyproject_path, \"rb\") as f:\n data = tomllib.load(f)\n \n il_config = data.get(\"tool\", {}).get(\"import-linter\", {})\n if not il_config:\n return {}\n \n result = {\n \"root_packages\": [],\n \"contracts\": [],\n }\n \n # Get root package(s)\n if \"root_packages\" in il_config:\n result[\"root_packages\"] = il_config[\"root_packages\"]\n elif \"root_package\" in il_config:\n result[\"root_packages\"] = [il_config[\"root_package\"]]\n \n # Parse contracts\n for key, val in il_config.items():\n if key.startswith(\"contract\"):\n contract_type = val.get(\"type\", \"\")\n contract_name = val.get(\"name\", key)\n \n if contract_type == \"layers\":\n result[\"contracts\"].append({\n \"type\": \"layers\",\n \"name\": contract_name,\n \"layers\": val.get(\"layers\", []),\n })\n elif contract_type == \"independence\":\n result[\"contracts\"].append({\n \"type\": \"independence\",\n \"name\": contract_name,\n \"modules\": val.get(\"modules\", []),\n })\n elif contract_type == \"forbidden\":\n result[\"contracts\"].append({\n \"type\": \"forbidden\",\n \"name\": contract_name,\n \"source_modules\": val.get(\"source_modules\", []),\n \"forbidden_modules\": val.get(\"forbidden_modules\", []),\n })\n \n return result\n \n except Exception as e:\n print(f\"Error parsing pyproject.toml: {e}\")\n return {}", "complexity": 0, "lines_of_code": 54, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "_parse_pyproject"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ImportLinterOracle._convert_to_oracle_result", "name": "ImportLinterOracle._convert_to_oracle_result", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 298, "end_line": 370, "role": "Utility", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "repo_path", "type": "Path"}, {"name": "contracts_data", "type": "Dict[str, Any]"}, {"name": "config_filename", "type": "str"}], "return_type": "OracleResult", "base_classes": [], "decorators": [], "docstring": "Convert parsed import-linter config to OracleResult.", "signature": "def _convert_to_oracle_result(", "body_source": " def _convert_to_oracle_result(\n self,\n repo_path: Path,\n contracts_data: Dict[str, Any],\n config_filename: str,\n ) -> OracleResult:\n \"\"\"Convert parsed import-linter config to OracleResult.\"\"\"\n \n membership = ComponentMembership()\n constraints = DependencyConstraints()\n warnings: List[str] = []\n \n root_packages = contracts_data.get(\"root_packages\", [])\n contracts = contracts_data.get(\"contracts\", [])\n \n if not contracts:\n warnings.append(\"No contracts found in import-linter config\")\n \n for contract in contracts:\n contract_type = contract.get(\"type\")\n \n if contract_type == \"layers\":\n layer_contract = LayerContract(\n name=contract.get(\"name\", \"\"),\n layers=contract.get(\"layers\", []),\n )\n \n # Add layer memberships (module \u2192 layer mapping)\n for layer_module in layer_contract.layers:\n # Use module name as component, infer layer from position\n layer_name = self._infer_layer_name(layer_module, layer_contract.layers)\n \n # Add to membership: ALL files under this module belong to this component\n # Note: We are abstracting modules to components here\n membership.add_file(\n rel_path=layer_module.replace('.', '/'), # This is storing a prefix, not a file. \n # Ideally ComponentMembership should handle prefixes.\n # For now, let's just use the module name as the key for mapping logic later.\n component=layer_name\n )\n \n # Add dependency constraints\n for start, end in layer_contract.get_allowed_deps():\n start_layer = self._infer_layer_name(start, layer_contract.layers)\n end_layer = self._infer_layer_name(end, layer_contract.layers)\n constraints.add_allowed(start_layer, end_layer)\n \n for start, end in layer_contract.get_forbidden_deps():\n start_layer = self._infer_layer_name(start, layer_contract.layers)\n end_layer = self._infer_layer_name(end, layer_contract.layers)\n constraints.add_forbidden(start_layer, end_layer)\n \n elif contract_type == \"independence\":\n ind_contract = IndependenceContract(\n name=contract.get(\"name\", \"\"),\n modules=contract.get(\"modules\", []),\n )\n # For independence, we probably want to treat each module as its own component?\n # Or just map forbidden edges.\n # Simplification: Just add forbidden edges.\n pass \n \n elif contract_type == \"forbidden\":\n # Simplification: Just add forbidden edges.\n pass\n \n return OracleResult(\n membership=membership,\n constraints=constraints,\n oracle_source=f\"import_linter:{config_filename}\",\n validation_note=\"Explicit architectural contracts defined in repository config\",\n warnings=warnings,\n )", "complexity": 0, "lines_of_code": 72, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "_convert_to_oracle_result"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:ImportLinterOracle._infer_layer_name", "name": "ImportLinterOracle._infer_layer_name", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 372, "end_line": 389, "role": "Internal", "role_confidence": 70.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}, {"name": "module", "type": "str"}, {"name": "all_layers", "type": "List[str]"}], "return_type": "str", "base_classes": [], "decorators": [], "docstring": "Infer canonical layer name from module and position.", "signature": "def _infer_layer_name(self, module: str, all_layers: List[str]) -> str:", "body_source": " def _infer_layer_name(self, module: str, all_layers: List[str]) -> str:\n \"\"\"Infer canonical layer name from module and position.\"\"\"\n # Get position (0 = UI/top, len-1 = data/bottom)\n try:\n position = all_layers.index(module)\n total = len(all_layers)\n ratio = position / max(1, total - 1)\n \n if ratio <= 0.25:\n return \"Interface\" # Top layer (UI, controllers)\n elif ratio <= 0.5:\n return \"Application\" # Middle-high (services, use cases)\n elif ratio <= 0.75:\n return \"Core\" # Middle-low (domain, business logic)\n else:\n return \"Infrastructure\" # Bottom (data, adapters)\n except ValueError:\n return module.split(\".\")[-1].title()", "complexity": 0, "lines_of_code": 17, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "_infer_layer_name"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py:_test_import_linter", "name": "_test_import_linter", "kind": "function", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/import_linter.py", "start_line": 396, "end_line": 451, "role": "Command", "role_confidence": 70.0, "discovery_method": "pattern", "params": [], "return_type": "", "base_classes": [], "decorators": [], "docstring": "Test with a sample .importlinter config.", "signature": "def _test_import_linter():", "body_source": "def _test_import_linter():\n \"\"\"Test with a sample .importlinter config.\"\"\"\n from pathlib import Path\n import tempfile\n \n sample_config = \"\"\"\n[importlinter]\nroot_package = myproject\n\n[importlinter:contract:1]\nname = Layered Architecture\ntype = layers\nlayers =\n myproject.ui\n myproject.api\n myproject.services\n myproject.domain\n myproject.infrastructure\n\n[importlinter:contract:2]\nname = Domain Independence\ntype = independence\nmodules =\n myproject.domain\n myproject.infrastructure\n\n[importlinter:contract:3]\nname = No External Cloud in Domain\ntype = forbidden\nsource_modules =\n myproject.domain\nforbidden_modules =\n boto3\n google.cloud\n\"\"\"\n \n with tempfile.TemporaryDirectory() as tmpdir:\n config_path = Path(tmpdir) / \".importlinter\"\n config_path.write_text(sample_config)\n \n oracle = ImportLinterOracle({})\n result = oracle.extract(Path(tmpdir), {})\n \n print(\"=\" * 60)\n print(\"IMPORT LINTER ORACLE TEST\")\n print(\"=\" * 60)\n print(f\"Component memberships: {result.membership.total_files}\")\n for file, comp in result.membership.file_to_component.items():\n print(f\" {file} -> {comp}\")\n \n print(f\"\\nDependency constraints: Allowed={len(result.constraints.allowed)}, Forbidden={len(result.constraints.forbidden)}\")\n if result.constraints.forbidden:\n print(f\" Sample forbidden: {result.constraints.forbidden[:3]}\")\n \n print(f\"\\nWarnings: {result.warnings if result.warnings else 'None'}\")\n print(\"=\" * 60)", "complexity": 0, "lines_of_code": 55, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "hotspot_score": 0, "is_hotspot": false, "label": "_test_import_linter"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:ComponentMembership", "name": "ComponentMembership", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 17, "end_line": 17, "role": "DTO", "role_confidence": 65.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": [], "decorators": ["dataclass"], "docstring": "", "signature": "class ComponentMembership:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "unknown", "metadata": {}, "composite_purpose": "QueryContainer", "hotspot_score": 0, "is_hotspot": false, "label": "ComponentMembership"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:ComponentMembership.add_file", "name": "ComponentMembership.add_file", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 30, "end_line": 35, "role": "Command", "role_confidence": 85.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}, {"name": "rel_path", "type": "str"}, {"name": "component", "type": "str"}], "return_type": "None", "base_classes": [], "decorators": [], "docstring": "Add a file to component mapping.", "signature": "def add_file(self, rel_path: str, component: str) -> None:", "body_source": " def add_file(self, rel_path: str, component: str) -> None:\n \"\"\"Add a file to component mapping.\"\"\"\n self.file_to_component[rel_path] = component\n if component not in self.component_to_files:\n self.component_to_files[component] = set()\n self.component_to_files[component].add(rel_path)", "complexity": 0, "lines_of_code": 5, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "add_file"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:ComponentMembership.get_component", "name": "ComponentMembership.get_component", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 37, "end_line": 39, "role": "Query", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "rel_path", "type": "str"}], "return_type": "str | None", "base_classes": [], "decorators": [], "docstring": "Get the component a file belongs to, or None if unknown.", "signature": "def get_component(self, rel_path: str) -> str | None:", "body_source": " def get_component(self, rel_path: str) -> str | None:\n \"\"\"Get the component a file belongs to, or None if unknown.\"\"\"\n return self.file_to_component.get(rel_path)", "complexity": 0, "lines_of_code": 2, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "get_component"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:ComponentMembership.total_files", "name": "ComponentMembership.total_files", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 42, "end_line": 43, "role": "Query", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "int", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def total_files(self) -> int:", "body_source": " def total_files(self) -> int:\n return len(self.file_to_component)", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "total_files"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:ComponentMembership.components", "name": "ComponentMembership.components", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 46, "end_line": 47, "role": "Utility", "role_confidence": 60.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "List[str]", "base_classes": [], "decorators": ["property"], "docstring": "", "signature": "def components(self) -> List[str]:", "body_source": " def components(self) -> List[str]:\n return sorted(self.component_to_files.keys())", "complexity": 0, "lines_of_code": 1, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "components"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:DependencyConstraints", "name": "DependencyConstraints", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 51, "end_line": 51, "role": "DTO", "role_confidence": 65.0, "discovery_method": "heuristic_pattern", "params": [], "return_type": "", "base_classes": [], "decorators": ["dataclass"], "docstring": "", "signature": "class DependencyConstraints:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "unknown", "metadata": {}, "composite_purpose": "CommandContainer", "hotspot_score": 0, "is_hotspot": false, "label": "DependencyConstraints"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:DependencyConstraints.is_allowed", "name": "DependencyConstraints.is_allowed", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 63, "end_line": 72, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "from_comp", "type": "str"}, {"name": "to_comp", "type": "str"}], "return_type": "bool | None", "base_classes": [], "decorators": [], "docstring": "Check if a dependency is allowed.\nReturns True if explicitly allowed, False if explicitly forbidden, None if not specified.", "signature": "def is_allowed(self, from_comp: str, to_comp: str) -> bool | None:", "body_source": " def is_allowed(self, from_comp: str, to_comp: str) -> bool | None:\n \"\"\"\n Check if a dependency is allowed.\n Returns True if explicitly allowed, False if explicitly forbidden, None if not specified.\n \"\"\"\n if (from_comp, to_comp) in self.forbidden:\n return False\n if (from_comp, to_comp) in self.allowed:\n return True\n return None", "complexity": 0, "lines_of_code": 9, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "is_allowed"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:DependencyConstraints.add_allowed", "name": "DependencyConstraints.add_allowed", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 74, "end_line": 76, "role": "Command", "role_confidence": 85.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}, {"name": "from_comp", "type": "str"}, {"name": "to_comp", "type": "str"}], "return_type": "None", "base_classes": [], "decorators": [], "docstring": "", "signature": "def add_allowed(self, from_comp: str, to_comp: str) -> None:", "body_source": " def add_allowed(self, from_comp: str, to_comp: str) -> None:\n if (from_comp, to_comp) not in self.allowed:\n self.allowed.append((from_comp, to_comp))", "complexity": 0, "lines_of_code": 2, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "add_allowed"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:DependencyConstraints.add_forbidden", "name": "DependencyConstraints.add_forbidden", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 78, "end_line": 80, "role": "Command", "role_confidence": 85.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}, {"name": "from_comp", "type": "str"}, {"name": "to_comp", "type": "str"}], "return_type": "None", "base_classes": [], "decorators": [], "docstring": "", "signature": "def add_forbidden(self, from_comp: str, to_comp: str) -> None:", "body_source": " def add_forbidden(self, from_comp: str, to_comp: str) -> None:\n if (from_comp, to_comp) not in self.forbidden:\n self.forbidden.append((from_comp, to_comp))", "complexity": 0, "lines_of_code": 2, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "add_forbidden"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:OracleResult", "name": "OracleResult", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 84, "end_line": 84, "role": "DTO", "role_confidence": 75.0, "discovery_method": "pattern", "params": [], "return_type": "", "base_classes": [], "decorators": ["dataclass"], "docstring": "", "signature": "class OracleResult:", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "infrastructure", "metadata": {}, "composite_purpose": "DataAccess", "hotspot_score": 0, "is_hotspot": false, "label": "OracleResult"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:OracleResult.summary", "name": "OracleResult.summary", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 105, "end_line": 115, "role": "Query", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "Dict[str, Any]", "base_classes": [], "decorators": [], "docstring": "Return a summary dict for reporting.", "signature": "def summary(self) -> Dict[str, Any]:", "body_source": " def summary(self) -> Dict[str, Any]:\n \"\"\"Return a summary dict for reporting.\"\"\"\n return {\n \"oracle_source\": self.oracle_source,\n \"validation_note\": self.validation_note,\n \"total_files\": self.membership.total_files,\n \"components\": self.membership.components,\n \"allowed_deps\": len(self.constraints.allowed),\n \"forbidden_deps\": len(self.constraints.forbidden),\n \"warnings\": self.warnings,\n }", "complexity": 0, "lines_of_code": 10, "in_degree": 0, "out_degree": 0, "layer": "application", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "summary"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:OracleExtractor", "name": "OracleExtractor", "kind": "class", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 118, "end_line": 118, "role": "ApplicationService", "role_confidence": 75.0, "discovery_method": "pattern", "params": [], "return_type": "", "base_classes": ["ABC"], "decorators": [], "docstring": "", "signature": "class OracleExtractor(ABC):", "body_source": "", "complexity": 0, "lines_of_code": 0, "in_degree": 0, "out_degree": 0, "layer": "unknown", "metadata": {}, "composite_purpose": "PolicyContainer", "hotspot_score": 0, "is_hotspot": false, "label": "OracleExtractor"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:OracleExtractor.oracle_type", "name": "OracleExtractor.oracle_type", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 128, "end_line": 130, "role": "Policy", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}], "return_type": "str", "base_classes": [], "decorators": ["property", "abstractmethod"], "docstring": "Return the oracle type identifier (e.g., 'import_linter', 'canonical_paths').", "signature": "def oracle_type(self) -> str:", "body_source": " def oracle_type(self) -> str:\n \"\"\"Return the oracle type identifier (e.g., 'import_linter', 'canonical_paths').\"\"\"\n pass", "complexity": 0, "lines_of_code": 2, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "oracle_type"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:OracleExtractor.extract", "name": "OracleExtractor.extract", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 133, "end_line": 144, "role": "Service", "role_confidence": 75.0, "discovery_method": "heuristic_pattern", "params": [{"name": "self"}, {"name": "repo_root", "type": "Path"}, {"name": "config", "type": "Dict[str, Any]"}], "return_type": "OracleResult", "base_classes": [], "decorators": ["abstractmethod"], "docstring": "Extract ground truth from the repository.\n\nArgs:\n repo_root: Path to the repository root\n config: Oracle-specific configuration from manifest.yaml\n \nReturns:\n OracleResult with membership and constraints", "signature": "def extract(self, repo_root: Path, config: Dict[str, Any]) -> OracleResult:", "body_source": " def extract(self, repo_root: Path, config: Dict[str, Any]) -> OracleResult:\n \"\"\"\n Extract ground truth from the repository.\n \n Args:\n repo_root: Path to the repository root\n config: Oracle-specific configuration from manifest.yaml\n \n Returns:\n OracleResult with membership and constraints\n \"\"\"\n pass", "complexity": 0, "lines_of_code": 11, "in_degree": 0, "out_degree": 0, "layer": "domain", "metadata": {}, "composite_purpose": null, "is_orphan": true, "hotspot_score": 0, "is_hotspot": false, "label": "extract"}, {"id": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py:OracleExtractor.validate_config", "name": "OracleExtractor.validate_config", "kind": "method", "file_path": "/Users/lech/PROJECTS_all/PROJECT_atman/_external/standard-model-for-computer-language/validation/oracle_bench/oracles/base.py", "start_line": 146, "end_line": 151, "role": "Specification", "role_confidence": 70.0, "discovery_method": "pattern", "params": [{"name": "self"}, {"name": "config", "type": "Dict[str, Any]"}], "return_type": "List[str]", "base_classes": [], "decorators": [], "docstring": "Validate oracle-specific config. Returns list of error messages (empty if valid).\nSubclasses can override to add validation.", "signature": "def validate_config(self, config: Dict[str, Any]) -> List[str]:", "body_source": " def validate_config(self, config: Dict[str, Any]) -> List[str]:\n \"\"\"\n Validate oracle-specific config. 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"ContractClient", "target": "ContractClient.getContractExplain", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 143, "metadata": {}}, {"source": "ContractClient", "target": "url", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 152, "metadata": {}}, {"source": "ContractClient", "target": "res", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 161, "metadata": {}}, {"source": "run", "target": "res", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 12, "metadata": {}}, {"source": "runCapture", "target": "res", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 24, "metadata": {}}, {"source": "parseArgs", "target": "out", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 31, "metadata": {}}, {"source": "parseArgs", "target": "arg", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 33, "metadata": {}}, {"source": "detectBase", "target": "branches", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 76, "metadata": {}}, {"source": "detectBase", "target": "current", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 82, "metadata": {}}, {"source": "utcStamp", "target": "now", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 87, "metadata": {}}, {"source": "utcStamp", "target": "pad", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 88, "metadata": {}}, {"source": "ensureGitRepo", "target": "res", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 93, "metadata": {}}, {"source": "writeSession", "target": "filename", "edge_type": "contains", "weight": 1.0, "confidence": 1.0, "file_path": "", "line": 103, "metadata": {}}, {"source": "writeSession", "target": 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"file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "ImportLinterOracle", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "extract", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "Path", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "print", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "print", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "print", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "print", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "items", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "print", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "print", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "len", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "len", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "print", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "print", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "_test_import_linter", "target": "print", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 396, "metadata": {}}, {"source": "ComponentMembership.add_file", "target": "set", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 30, "metadata": {}}, {"source": "ComponentMembership.add_file", "target": "add", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 30, "metadata": {}}, {"source": "ComponentMembership.get_component", "target": "get", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 37, "metadata": {}}, {"source": "ComponentMembership.total_files", "target": "len", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 42, "metadata": {}}, {"source": "ComponentMembership.components", "target": "keys", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 46, "metadata": {}}, {"source": "DependencyConstraints.add_allowed", "target": "append", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 74, "metadata": {}}, {"source": "DependencyConstraints.add_forbidden", "target": "append", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 78, "metadata": {}}, {"source": "OracleResult.summary", "target": "len", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 105, "metadata": {}}, {"source": "OracleResult.summary", "target": "len", "edge_type": "calls", "weight": 1.0, "confidence": 0.7, "file_path": "", "line": 105, "metadata": {}}]; const vizMetadata = {"generated_at": "2025-12-23T07:00:28.181895", "stats": {"total_nodes": 57445, "total_edges": 43567, "role_distribution": {"DTO": 493, "Client": 28, "Utility": 49095, "Factory": 679, "Query": 2640, "Controller": 514, "Specification": 393, "Service": 301, "UseCase": 69, "Command": 326, "Iterator": 15, "Lifecycle": 152, "Repository": 284, "Fixture": 142, "Exception": 97, "Configuration": 151, "Mapper": 82, "Provider": 22, "EventHandler": 199, "Policy": 96, "ApplicationService": 403, "Validator": 5, "Test": 127, "Adapter": 2, "Internal": 995, "Job": 19, "Observer": 78, "Entity": 16, "DomainEvent": 2, "ValueObject": 5, "DomainService": 15}, "coverage_percent": 100.0, "average_confidence": 61.9, "classification_time_seconds": 59.1}}; /* */ // Safe layer color lookup with fallback function getLayerColor(layer) { return layerColors[layer] || layerColors['unknown'] || { bg: '#6b7280', border: '#4b5563', icon: 'โ“' }; } // ========================================== // VISUALIZATION ENGINE // ========================================== let network; let nodes; let edges; let activeFilters = { layers: new Set(), roles: new Set() }; let currentLayout = 'force'; let physicsEnabled = false; async function initGraph() { // Wait for library to load try { await window.visPromise; } catch (e) { logToScreen("Failed to wait for vis promise: " + e, "error"); } if (typeof vis === 'undefined') { logToScreen("CRITICAL: Vis library object is undefined after load", "error"); return; } else { logToScreen("Vis library loaded successfully. Version: " + (vis.version || "unknown")); } // Kind to shape mapping const kindShapes = { 'class': 'box', 'method': 'diamond', 'function': 'ellipse' }; try { // Debug: Log first particle logToScreen(`Processing ${particles.length} particles...`); if (particles.length > 0) { const sample = particles[0]; logToScreen(`Sample node: ${sample.label}, Layer: ${sample.layer}`); } // Create nodes with rich visual mappings nodes = new vis.DataSet(particles.map(p => { const layerInfo = getLayerColor(p.layer); // Size based on complexity and LOC const baseSize = 18; const complexityBonus = Math.min((p.complexity || 0) * 2, 15); const locBonus = Math.log((p.lines_of_code || 1) + 1) * 3; const nodeSize = baseSize + complexityBonus + locBonus; // Border width based on connectivity const connections = (p.in_degree || 0) + (p.out_degree || 0); const borderWidth = Math.min(1 + connections / 3, 6); // Opacity based on role confidence const confidence = p.role_confidence || 70; const opacity = 0.5 + (confidence / 200); // Border dashes for LLM-classified nodes const borderDashes = p.discovery_method === 'llm' ? [5, 3] : false; return { id: p.id, label: p.label, title: `${p.name}\n${p.role} (${Math.round(confidence)}%)\n${p.kind} โ€ข ${p.lines_of_code} LOC`, group: p.layer, color: { background: layerInfo.bg, border: layerInfo.border, highlight: { background: '#fff', border: layerInfo.border }, hover: { background: '#fff', border: layerInfo.border } }, font: { color: '#000', size: 11, face: 'Inter', bold: { color: '#000' } }, shape: kindShapes[p.kind] || 'ellipse', size: nodeSize, borderWidth: borderWidth, borderDashes: borderDashes, opacity: opacity, shadow: { enabled: p.is_hotspot, size: p.is_hotspot ? 15 : 10, color: p.is_hotspot ? 'rgba(239,68,68,0.5)' : 'rgba(0,0,0,0.3)' }, ...p }; })); // Create edges with rich visual mappings edges = new vis.DataSet(connections.map((c, i) => { // Edge styling based on type const edgeColor = c.color || '#00d4ff'; const edgeDashes = c.dashes ? [5, 5] : false; const showArrows = c.arrows !== false; const edgeWidth = 1 + (c.weight || 1) * 0.5; const edgeOpacity = 0.3 + (c.confidence || 1) * 0.4; return { id: i, from: c.from, to: c.to, label: c.type !== 'CONTAINS' ? c.type : '', title: `${c.type}\nWeight: ${c.weight || 1}\nConfidence: ${Math.round((c.confidence || 1) * 100)}%`, arrows: { to: { enabled: showArrows, scaleFactor: 0.5 } }, color: { color: edgeColor, opacity: edgeOpacity, highlight: '#00d4ff', hover: '#00d4ff' }, dashes: edgeDashes, font: { color: '#666', size: 8, strokeWidth: 0, align: 'middle' }, smooth: { type: 'curvedCW', roundness: 0.12 }, width: edgeWidth, hoverWidth: edgeWidth + 1 }; })); // Options const options = getLayoutOptions(currentLayout); // Create network const container = document.getElementById('graph'); network = new vis.Network(container, { nodes, edges }, options); // Event handlers network.on('click', handleNodeClick); network.on('stabilizationIterationsDone', () => network.fit({ animation: true })); updateStats(); buildFilters(); } catch (err) { logToScreen("CRITICAL ERROR in initGraph: " + err, "error"); console.error(err); } } function getLayoutOptions(layout) { const base = { nodes: { borderWidthSelected: 3 }, edges: { selectionWidth: 3 }, interaction: { hover: true, tooltipDelay: 100, zoomView: true, dragView: true, multiselect: true }, }; switch (layout) { case 'hierarchical': return { ...base, layout: { hierarchical: { direction: 'UD', sortMethod: 'hubsize', levelSeparation: 100, nodeSpacing: 120, treeSpacing: 200 } }, physics: false }; case 'radial': return { ...base, layout: { improvedLayout: true }, physics: { solver: 'repulsion', repulsion: { nodeDistance: 200, centralGravity: 0.3 }, stabilization: { iterations: 150 } } }; case 'grid': return { ...base, layout: { improvedLayout: false }, physics: false }; default: // force return { ...base, layout: { improvedLayout: false }, physics: { enabled: physicsEnabled, solver: 'forceAtlas2Based', forceAtlas2Based: { gravitationalConstant: -80, centralGravity: 0.01, springLength: 120, springConstant: 0.05, damping: 0.4 }, stabilization: false } }; } } function setLayout(layout) { currentLayout = layout; document.querySelectorAll('.layout-btn').forEach(b => b.classList.remove('active')); event.target.classList.add('active'); if (layout === 'grid') { // Manual grid layout const layerOrder = ['Interface', 'App', 'Core', 'Infra', 'Data', 'Tests']; const nodesByLayer = {}; particles.forEach(p => { if (!nodesByLayer[p.layer]) nodesByLayer[p.layer] = []; nodesByLayer[p.layer].push(p); }); let y = 0; layerOrder.forEach(layer => { const layerNodes = nodesByLayer[layer] || []; layerNodes.forEach((p, i) => { nodes.update({ id: p.id, x: i * 150, y: y }); }); y += 150; }); network.setOptions({ physics: false }); network.fit({ animation: true }); } else { network.setOptions(getLayoutOptions(layout)); if (layout !== 'grid') { network.stabilize(); } } } function handleNodeClick(params) { if (params.nodes.length > 0) { const nodeId = params.nodes[0]; const node = nodes.get(nodeId); showNodeDetails(node); } } function showNodeDetails(node) { const connectedEdges = network.getConnectedEdges(node.id); const outgoing = []; const incoming = []; connectedEdges.forEach(edgeId => { const edge = edges.get(edgeId); if (edge.from === node.id) { const target = nodes.get(edge.to); if (target) outgoing.push({ node: target, type: edge.label, edgeType: edge.label }); } else { const source = nodes.get(edge.from); if (source) incoming.push({ node: source, type: edge.label, edgeType: edge.label }); } }); const layerInfo = getLayerColor(node.layer); const confidence = Math.round(node.role_confidence || 70); const filePath = node.file_path || ''; const fileName = filePath.split('/').pop() || 'Unknown'; const lineRange = node.start_line && node.end_line ? `L${node.start_line}-${node.end_line}` : ''; // Format decorators const decorators = (node.decorators || []).map(d => `@${d}`).join(''); // Format params const params = (node.params || []).map(p => p.name || p).join(', '); // Format base classes const baseClasses = (node.base_classes || []).join(', '); // Code preview (limit to 300 chars) const codePreview = (node.body_source || '').slice(0, 300); const hasMoreCode = (node.body_source || '').length > 300; document.getElementById('node-details').innerHTML = `
${node.role_icon || layerInfo.icon}
${node.name || node.label}
${node.kind} โ€ข ${node.layer} Layer
${confidence}%
${node.discovery_icon || '๐Ÿ”'} ${node.discovery_method || 'pattern'}
${decorators ? `
${decorators}
` : ''}
Location
${fileName} ${lineRange}
${node.signature ? `
${node.signature}
` : ''}
Metrics
Role
${node.role_icon || ''} ${node.role}
Kind
${node.kind}
Complexity
${node.complexity || 0}
LOC
${node.lines_of_code || 0}
In / Out
${node.in_degree || 0} / ${node.out_degree || 0}
Cost
${node.estimated_cost || 0}
${params ? `
Parameters
${params}
` : ''} ${baseClasses ? `
Inherits
${baseClasses}
` : ''}
Dimensions
Boundary
${node.boundary}
State
${node.state}
Activation
${node.activation}
Lifetime
${node.lifetime}
Effect
${node.effect}
Time Type
${node.time_type}
${node.is_hotspot ? '
๐Ÿ”ฅ Performance Hotspot
' : ''} ${node.is_entry_point ? '
๐Ÿš€ Entry Point
' : ''} ${codePreview ? `
Code Preview
${codePreview}${hasMoreCode ? '...' : ''}
` : ''} ${outgoing.length > 0 ? `
Outgoing (${outgoing.length})
${outgoing.slice(0, 10).map(c => `
โ†’ ${c.node.label} ${c.type || 'CALLS'}
`).join('')} ${outgoing.length > 10 ? `
...and ${outgoing.length - 10} more
` : ''}
` : ''} ${incoming.length > 0 ? `
Incoming (${incoming.length})
${incoming.slice(0, 10).map(c => `
โ† ${c.node.label} ${c.type || 'CALLS'}
`).join('')} ${incoming.length > 10 ? `
...and ${incoming.length - 10} more
` : ''}
` : ''} `; } function focusNode(nodeId) { network.selectNodes([nodeId]); network.focus(nodeId, { scale: 1.5, animation: true }); showNodeDetails(nodes.get(nodeId)); } function updateStats() { document.getElementById('stat-nodes').textContent = particles.length; document.getElementById('stat-edges').textContent = connections.length; document.getElementById('stat-layers').textContent = Object.keys(layerColors).length; const maxEdges = particles.length * (particles.length - 1); const density = ((connections.length / maxEdges) * 100).toFixed(1); document.getElementById('stat-density').textContent = density + '%'; } function buildFilters() { // Layer filters const layerCounts = {}; particles.forEach(p => { layerCounts[p.layer] = (layerCounts[p.layer] || 0) + 1; }); const layerFiltersHtml = Object.entries(layerColors).map(([layer, info]) => `
${layer} ${layerCounts[layer] || 0}
`).join(''); document.getElementById('layer-filters').innerHTML = layerFiltersHtml; // Role filters const roleCounts = {}; particles.forEach(p => { roleCounts[p.role] = (roleCounts[p.role] || 0) + 1; }); const roleFiltersHtml = Object.entries(roleIcons).map(([role, icon]) => `
${icon} ${role} ${roleCounts[role] || 0}
`).join(''); document.getElementById('role-filters').innerHTML = roleFiltersHtml; } function toggleFilter(type, value, element) { element.classList.toggle('active'); const set = type === 'layer' ? activeFilters.layers : activeFilters.roles; if (set.has(value)) { set.delete(value); } else { set.add(value); } applyFilters(); } function applyFilters() { const activeLayerFilters = document.querySelectorAll('[data-layer].active'); const activeRoleFilters = document.querySelectorAll('[data-role].active'); const activeLayers = new Set(Array.from(activeLayerFilters).map(el => el.dataset.layer)); const activeRoles = new Set(Array.from(activeRoleFilters).map(el => el.dataset.role)); nodes.forEach(node => { const visible = activeLayers.has(node.layer) && activeRoles.has(node.role); nodes.update({ id: node.id, hidden: !visible }); }); } function searchNodes(query) { const q = query.toLowerCase(); nodes.forEach(node => { const match = !q || node.label.toLowerCase().includes(q); nodes.update({ id: node.id, opacity: match ? 1 : 0.2, font: { ...node.font, color: match ? '#000' : '#999' } }); }); if (q) { const matches = particles.filter(p => p.label.toLowerCase().includes(q)); if (matches.length === 1) { focusNode(matches[0].id); } } } function fitGraph() { network.fit({ animation: { duration: 500 } }); } function togglePhysics() { physicsEnabled = !physicsEnabled; network.setOptions({ physics: { enabled: physicsEnabled } }); event.target.classList.toggle('active'); } function exportJSON() { const data = { particles: particles, connections: connections, exported_at: new Date().toISOString() }; const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' }); const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = 'spectrometer_graph.json'; a.click(); } // Initialize try { if (!particles || particles.length === 0) { console.warn("No particles data found. Waiting for injection or empty graph."); } initGraph(); } catch (e) { console.error("Spectrometer Initialization Error:", e); document.body.innerHTML = `

Spectrometer Error

Failed to initialize visualization.

${e.toString()}
`; }